(* Content-type: application/vnd.wolfram.mathematica *)

(*** Wolfram Notebook File ***)
(* http://www.wolfram.com/nb *)

(* CreatedBy='Mathematica 11.3' *)

(*CacheID: 234*)
(* Internal cache information:
NotebookFileLineBreakTest
NotebookFileLineBreakTest
NotebookDataPosition[       158,          7]
NotebookDataLength[    386483,       6740]
NotebookOptionsPosition[    376704,       6529]
NotebookOutlinePosition[    377149,       6546]
CellTagsIndexPosition[    377106,       6543]
WindowFrame->Normal*)

(* Beginning of Notebook Content *)
Notebook[{
Cell[TextData[{
 "New in: ",
 Cell["11.3", "HistoryData",
  CellTags->"New",ExpressionUUID->"ad15158a-6154-4c49-9556-0bb703daaf6b"],
 " | Modified in: ",
 Cell[" ", "HistoryData",
  CellTags->"Modified",ExpressionUUID->"e03746a6-0f06-4e72-85a6-2ab27945e1cd"],
 " | Obsolete in: ",
 Cell[" ", "HistoryData",
  CellTags->"Obsolete",ExpressionUUID->"93ce1af8-1f61-4337-82c5-1700a1c354be"],
 " | Excised in: ",
 Cell[" ", "HistoryData",
  CellTags->"Excised",ExpressionUUID->"c145e010-8ff8-4b19-8856-76c8775e29bc"]
}], "History",
 CellChangeTimes->{{3.737117026262301*^9, 3.737117027333475*^9}},
 CellID->1247902091,ExpressionUUID->"d459b4ec-48cd-42fc-980b-4019e0e9ca8b"],

Cell[CellGroupData[{

Cell["Categorization", "CategorizationSection",
 CellID->1122911449,ExpressionUUID->"34a850ec-c663-49ae-9dd6-6e3ee6c65b33"],

Cell["Tutorial", "Categorization",
 CellLabel->"Entity Type",
 CellID->686433507,ExpressionUUID->"36f21afe-3554-4e9d-b5ac-ea6ea006b26a"],

Cell["RhinoLink", "Categorization",
 CellLabel->"Paclet Name",
 CellID->605800465,ExpressionUUID->"a123f012-3876-4b5f-9b82-b84e80a8bde4"],

Cell["RhinoLink`", "Categorization",
 CellLabel->"Context",
 CellID->468444828,ExpressionUUID->"3871fc17-25aa-4512-ae91-4d989a201dba"],

Cell["\<\
RhinoLink/tutorial/Make a Grasshopper Component that Makes NURBS Surfaces \
from U-V Point Grids\
\>", "Categorization",
 CellLabel->"URI",ExpressionUUID->"56a8d591-d331-4cf7-a66c-58ccfb3ca727"]
}, Closed]],

Cell[CellGroupData[{

Cell["Keywords", "KeywordsSection",
 CellID->1427428552,ExpressionUUID->"86d7b575-4215-4a54-b08b-3778b3dfdb7f"],

Cell["XXXX", "Keywords",
 CellID->1251852827,ExpressionUUID->"e493c215-457d-47d8-aa6c-0dbf038eb7a3"]
}, Closed]],

Cell[CellGroupData[{

Cell["Details", "DetailsSection",
 CellID->307771771,ExpressionUUID->"b3a9b056-6e5d-4c39-99af-9ce8d34d3e98"],

Cell["XXXX", "Details",
 CellLabel->"Lead",
 CellID->218895918,ExpressionUUID->"37273aab-d035-4869-8939-bc51c02427ab"],

Cell["XXXX", "Details",
 CellLabel->"Developers",
 CellID->350963985,ExpressionUUID->"5c8bc96a-1d80-47cf-a932-e3a230bd6e58"],

Cell["XXXX", "Details",
 CellLabel->"Authors",
 CellID->795871300,ExpressionUUID->"2eeca285-94cb-4a64-8a2b-510782c9418f"],

Cell["XXXX", "Details",
 CellLabel->"Feature Name",
 CellID->199739161,ExpressionUUID->"ab5f6f4d-f4be-46b0-bcd4-4d390ceed074"],

Cell["XXXX", "Details",
 CellLabel->"QA",
 CellID->40625308,ExpressionUUID->"0e97d31a-7f5f-49ad-9725-cac9c0dd45fa"],

Cell["XXXX", "Details",
 CellLabel->"DA",
 CellID->357121918,ExpressionUUID->"4857837e-82a0-48b9-8cb4-e1313a5ca08a"],

Cell["XXXX", "Details",
 CellLabel->"Docs",
 CellID->35949532,ExpressionUUID->"7042300f-7472-4da8-b380-657aad4c6090"],

Cell["XXXX", "Details",
 CellLabel->"Features Page Notes",
 CellID->929432370,ExpressionUUID->"f6d6879b-ee12-4c3f-b9e6-81d050e5e13a"],

Cell["XXXX", "Details",
 CellLabel->"Comments",
 CellID->240026365,ExpressionUUID->"e05d995c-0e02-4749-93c2-758dd07e0974"]
}, Closed]],

Cell[CellGroupData[{

Cell["\<\
Make a Grasshopper Component that Makes NURBS Surfaces from U-V Point Grids\
\>", "Title",
 CellID->509267359,ExpressionUUID->"64173bae-7d30-4d62-a4e7-313449ac61f6"],

Cell[CellGroupData[{

Cell["Setup", "Section",
 CellChangeTimes->{{3.736775237598078*^9, 3.736775252403893*^9}, {
  3.737130085844666*^9, 3.7371300862906027`*^9}},
 CellID->1037075497,ExpressionUUID->"8e62890b-7d26-49e5-8c0b-8811dcf12762"],

Cell["\<\
To run the code in this tutorial, you must have evaluated WolframConnect in \
Rhino:\
\>", "Text",
 CellChangeTimes->{{3.736776333010248*^9, 3.7367764247248583`*^9}, {
  3.7371273879360523`*^9, 3.7371273891903563`*^9}, {3.737130101143146*^9, 
  3.737130104747658*^9}},
 CellID->1361204418,ExpressionUUID->"e60af5c9-57ce-4465-9d35-51d297dd6c91"],

Cell[BoxData[
 RowBox[{"\t", 
  GraphicsBox[
   TagBox[RasterBox[CompressedData["
1:eJzsnQVYVEsbxxcRAUlZYAmRFBUQRMXGTmxsr63YXdjdHdcW9XrtFhUxkFQQ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     "], {{0, 219}, {932, 0}}, {0, 255},
     ColorFunction->RGBColor],
    BoxForm`ImageTag[
    "Byte", ColorSpace -> "RGB", Interleaving -> True, Magnification -> 
     Automatic],
    Selectable->False],
   DefaultBaseStyle->"ImageGraphics",
   ImageSize->Magnification[0.5],
   ImageSizeRaw->{932, 219},
   PlotRange->{{0, 932}, {0, 219}}]}]], "Text",
 CellChangeTimes->{3.7371273812100058`*^9, 3.737130109525482*^9},
 CellID->110807350,ExpressionUUID->"6ec9bd1a-ed10-4d7f-969b-ea1608ad0051"],

Cell[CellGroupData[{

Cell["\<\
The notebook in which you are working must use the RhinoAttach kernel:\
\>", "Text",
 CellChangeTimes->{{3.736776430172333*^9, 3.736776449196538*^9}, {
  3.737130148770586*^9, 3.737130149002206*^9}},
 CellID->400292277,ExpressionUUID->"46a37541-a73a-4006-9e09-686036bb3dfd"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJzs3W2MZNl93/dC4hd+6QBBXuUNEQSBXlAJLKbCTKxVHEEIbMCISDteIYDg
9K41YpTsRg9WgmxCJBYwcgcUmVGEAJE5iQIIcaxlE6Qmq5EQyTItW9qhSG2T
2od52Flyl0POLkWJElfapbTibqX/p/tUV9/q27cebt1b99TnK3/Nna6nW/dW
3fM/vzrn3Hc98l+///K/NBqNfuwvHv1/79/7b//qj/7o3n/3N//S0T/+08d/
7L/4wcd/4O/+tcf/3g/84A/86Hsf+ZeP/vhvH933b/yF0ejo/40mAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAICV+NnPk80CAAAAALBr9N0X5zAEAAAAAGDX
yH3iz75GziszAQAAAADsKjITXqTMBAAAAACwq8hMeJEyEwAAAADAriIz4UXK
TAAAAAAAu4rMhBcpMwEAAAAA7CoyE16kzAQAAAAAsKvITHiRMhMAAAAAwK4i
M+FFykwAAAAAYDsYXbo6efHof1/se0POcCN5eXQpefVo464usoEvXk1eOnrM
pWUe1zGrZyY3ku8fjZKjGt//jybJzffv8/ZcSv7YzUmy78xh6s2ryW8/2rZv
38bt21hmkr8/o+T8Z+RScv3vx4rfU5zLjcuj5OWj3Rqec4/JQvv7xuXk6OhJ
wu7Piz4Xxyy7H9rab/Y/AABAm8hMukdmIjORmaCKzKQ0ZCYAAAAlcOPy5ZMK
a5sou+ZbPzPZloyi7+3p+/W3PTM5//vz4tVLychL18tMu+rjlX0+mFLNOqpM
s4/RsUc74dI5OyIf37rbN8+OHK9GZCYAAAAlIDPpHplJKa8vM5GZtIjMpDBk
JgAAANgUZdd8MpNSXn+Ymcn29c1kJomciVw6tppl5Szk8tWryUuXbyRn7pG8
eunSsb3tpx05Xo3ITAAAALApyq75ZCalvL7MRGbSIjKTwpCZAAAAlMfZWuvy
5WNHo8vJPIcnr1U4t7bk3JjySu1242oyjy3Pj5sfQ97S4+ZqxdynGCWr23+6
9uKi91uNzWcmLyZ/7D2jZO2asP/ocnL0nqvJTxz9Lfzp7x8l547v999INm9P
03ZefHvz6zeshTt3v5rtmK4RO0o2r6Vbeb6fuJysPu7bf+LF5FAzk5W/39XX
qcwlOX2ufD45/r/atWovX07W317ZnsbXy3MQN/v9Xp26zKP69xvJy6PLydP3
lY9H3d+rx6ny96uXk9X9UTvHp2Z/X4o8J3KdpT8X5+//+rVxF/z8zWVLXdFy
ZrLw53vB471wuwoAAIBTZCYyE5mJzERmIjORmayPzAQAAKAERufWVMd9lMVr
p6Ya7aTPU11zsvYamA2Py2slLlwrnu0jNb6vprUY12Rz1xo+3h8/HbnDbCYy
l3WczSaar028bDayXmay/usv+rjj/Tj3/muvUVzZ/9X9mvd39ThsWWay/Bqw
C/bBGv+en+74+3X6PVx3bs6Sr7fh7/e6zGcEJ+/v6FhdnjleNy5fSk7fb+37
WvD8XH1c43n2+HHVLGP6+RpVr2l98eNq24O695WP66VLx1bO69uzFm7dNb/r
rNtv636fVm2PAQAAdhuZyXlvR2YiM5GZND+fzGQTyExkJjITAACA7WGpvk5m
WkuvWetNn66mj7B0H6nm79Na8HLytPavYcFreq5Kd2vA5vtfTp724U/+/p6r
yTwnZ77vf/7x3XhmsvbrN7zONBO5nKzLNuYzpbazoE1nJnV9tWofuPrwNb/f
DXMv5ufWrJmJLPt6G/5+r001I6jJDKqZQH1GsGK21XR8a9aqXfc8PNce1Lze
NDPKc0ymtx//3/DWwt3092nV9hgAAGC3kZmcg8xEZiIzkZn0hcxEZiIzAQAA
2BqWqqlqa97jKna+Rm2q0fLjjufMbE1mUuF0rPlxbbr9a8Ce9RM/cSmZ1yat
/nt+Tko1S8hryl46dlOZSWuvLzNZrq92Qlvf76W/b21lJtvx/V6bSkZw42jb
wtq5LJePrc8IBp6Z1K2BO52rlDOSy8kbR69x48Lt64q2M5N1v0+rtscAAAC7
jcykGZmJzERmIjPpDJmJzERmAgAAsDUsVVPlMeIrruU6N2a8thZsOTNZdg3Y
GtpaU7DrzGSaEbzncvL9J85lBTXXHm5eE7W6PQ3XOp7OvanMtWnt9Zv216Jr
wFYzlcIzk5W/3xevNdn8fVkzM1n69c6n/zVDp1symT1fzc+JylTnYNXNuWo5
M6m8bvtrwJ6fDUyPT8Oar5fj+tSXL2/BcWwpM2nt+7RqewwAALDbyEwWR2Yi
M5GZyEw2j8xEZiIzAQAA2BYWWyswU63lT7x0OXn5qI69fMHY/cuXj62uXTc/
BrjtzKT6uPPXxpxuR+0amA1rZy7I5q41fOzcnJtKhlF37eG5++XnfM/l5Pvf
cym5cGZRt5br919ONmUtza9/bJ5Dc/r8+f01bN80Gxkl69eaXTQTGXhmsub3
e+51mtaurKxpmudkrHr7wq+34e93Wyx6Tejpfqm9dnLbmcn0hc/dj5euXk0u
/7moy4aqj6u5Fu7WXSu3rczkhIW/T4sd78XbYwAAgN1GZiIzkZnITI6RmchM
Fnnc9IVlJhciMwEAAEATq/bdymb1zIS74PqZCQBU0R4DAABsH2q085CZ8CJl
JgDaR3sMAACwfajRzkNmwouUmQBoH+0xAADA9qFGOw+ZCS9SZgKgfbTHAAAA
24ca7TxkJrxImQmA9tEeAwAAbB9qtPOQmfAiZSYA2kd7DAAAgGEgM+FFykwA
AAAAALuKzIQXKTMBAAAAgO3g9ddfZ8f+9Ke/STba9+eUJEmSJMmu7bsvzmHY
9+eUJEmSJHfdP/qjP2LHfvaznyVJkiQHY9/1M0lyd+y7zSNJkiSXse/6mST7
Et2T256+xxiRJEmSF5nrVgAAukJmQpIkySEoMwEAdI3MhCRJkkNQZgIA6BqZ
CUmSJIegzAQA0DV1mUnfa9ts2r7bfJIkSS6nzAQA0DUyE5IkSQ5BmQkAoGtk
JiRJkhyCMhMAQNfITEiSJDkEZSYAgK6RmZAkSXIIVuvWN998M/nWW28l3377
7eQ777yTBABgXWQmJEmSHIIyEwBA18hMSJIkOQRz3Xrnzp3k/fv3k9/4xjeS
OTuRmQAA2kJmQpIkySEoMwEAdI3MhCRJkkMw161PPfVU8umnn07m7OSNN95I
5jk6AACsi8yEJEmSQ1BmAmDX+dSnPsWOlZmQJElyCOa69cd//MeT+/v7yZ//
+Z9P3rhxI/nrv/7ryb7rbJLk8JWZkCRJcgjKTEjuuugemUmdN5PXHnss+ViN
126+ntx8nZC350ry+r3Xk33XLpv3XvL6lceSc8fgyvXkvaP73mt1v+7q/ibJ
Jb15LTnfRl5L3jy6z8103xXPq/euJ68cPebKeY+rvv7a7cKibludsBvmuvXq
1avJg4OD5PPPP5/Ma8F+61vfSgIAsC4yk6HUQrvah5eZkORWKzPZkjphN5SZ
AAC6RmbSVAttS5+57+3p+PWnNfJjydqa8+R+149uu75STSozIcmVnJ6nryVP
s5Gzt5+en9s+r57NLObbiU2fx7tqJ7RHs+a69SMf+UjyYx/7WPK5555LykwA
AG0jMxlKjdL39shMdrlGJck5ZSYbfv6uX2cYykwAAF0jMxlKjdL39nT1+mfn
4mx+TLPMhCRXMs+JWXguzKYyk7rnk5mUqMwEANA1MpOh1Ch9b4/MZJdrVJKc
U2ay4efv+nWGocwEANA1MpN1a5QF+/g1teXNa48l59aNu3Yz2bw969WMza/f
sMZddTsrc2rq1wKssWms96IuvB3L7teL16S11h/J3fFs+3Dl+r1k8/1Pzqs3
ryer5+n556mej28m69qlK9evJxdut6bm8/u1ZHP7s2yWUbn/9WvJ+e3P739T
7e/Z7bh27dh8v/4/VxcrMwEAdI3MZN1aSGYiM5GZkNxFZSYyk+6VmQAAukZm
slgt2HgNxZyJ1NRiOZto7lMv24dve2zyhl7nZP801tS55rty7PLXilx2O5Z8
vw3HmSR3z/Oz5Po1WU/a1eqcnuk1g9fNtquvt2j7t2pmsmCdUL1/tR1Z+v0v
+D5r271Fs67tUmYCAOgamUlLtZDMZMmareb1ZSYkOTBlJjKT7pSZAAC6RmbS
VAstmzVcS87VOkd14bXzMoBpjVStta4kN56ZrP36J9aOCV50THT1eVacm7P0
diy5XyvPP7RakyQ3bu214ldtrzbU/i3aXjRmQOv+JrHq+1/yfTS2e8NQZgIA
6BqZyaq1Td39ZSYyE5LcYWUmNcpM2lBmAgDoGpnJqrXN+d67fiWZ+9LVf8/X
ONVsII8NvnLspmrG1l6/6f0s65rXGl56O1bdr2ePtzVgSfKs0/Pjwn31vuem
drwGbOuZybrt3jCUmQAAukZm0m5NITORmchMSFJmsvz9ZSaLKDMBAHSNzKTl
mmK6hum15LUT52qYmmsPn9Y+V5LNNVNDxjCde1OZa9Pa61f3V0trylXmDNVm
ESfbe/3otus3V9mO9TKTbG02RpKlevN6cv78eLZdal5zOyszWe99rtvuDUOZ
CQCga2QmLdcUMhOZicyE5C4oM1ny+WUmbSgzAQB0jcykqaaou4bgsfO1SeWa
i7Vrnp5/bcbHrlxLXrtyJblwzVS3luu1a8mmrKX59Y/N10yuXdO1aS26Za/R
2/R81cxn6e1YskatXTO3em1IkizdhnZy7nzfdWZybGO7tan3P1cnrJfxtNf+
ykwAAFgGmUlbtVB+nMxEZtJ/TUmSm1dmIjPpXpkJAKBrZCYkSZIcgjITAEDX
yExIkiQ5BGUmAICukZmQJElyCMpMAABdIzMhSZLkEJSZAAC6RmZCkiTJISgz
AQB0jcyEJEmSQ1BmAgDoGpkJSZIkh6DMBADQNTITkiRJDkGZCQCga2QmJEmS
HIIyEwBA18hMSJIkOQRlJgCArpGZkCRJcgjKTAAAXSMzIUmS5BCUmQAAukZm
QpIkySEoMwEAdI3MhCRJkkNQZgIA6BqZCUmSJIegzAQA0DUyE5IkSQ5BmQkA
oGtkJiRJkhyCMhMAQNfITEiSJDkEZSYAgK6RmZAkSXIIykwAAF0jMyFJkuQQ
lJkAALpGZkKSJMkhKDMBAHSNzIQkSZJDUGYCAOgamQlJkiSHoMwEANA1MhOS
JEkOQZkJAKBrZCYkSZIcgjITAEDXyExIkiQ5BGUmAICukZnUeTN57bHHko/V
eO3m68nN1wl5e64kr997Pdl37dK6964nrxy9xysbfZ9Nx/dKcv71d+Q4kGzf
m9eS8+eba8mbR/e5me674nmm6fxZff0r15P3jm671+m+uJe8fuWx5Nz+aH27
NnXe3rY6YTeUmQAAukZmMpRaaEf66jITkqUqMzlRZsLVlZkAALpGZtJ1jbVu
bdbX9vT9+t2+n3vXryTna/fS9gPJjTvNMq4lT7ORs7dfP+pXX09967bPM2f7
9vN9+I7Oa9P98FiyNktofX9sOjPZdHug3ZlVZgIA6BqZyVBqlL63p+/X7/b9
yExItqbMpLIfZCbb+TrDUGYCAOgamclQapS+t6fv1+/6/dTdXtp+ILlx85yY
heecbCozWfZ815Zn5+IsP1dFZqLdOVVmAgDoGpnJUGqUvren79fv+v3ITEi2
pMxkIjMZwusMQ5kJAKBrZCbr1igL1oI1NfPNa48l59aNu3Yz2bw969XCza/f
sMZddTsrY6/r1zhcdr9X/n79WrK6PVeu30uuf3xX29+LH8/zPz+NaweuvX9J
du/Z82jzeapynrl5PVn93s8/T/X8dDNZd/6+cv16cuHz+9R83rqWbDzvNM1N
WnC/NbdTx+/72rVjT8+LN5OLt+cLvq+ls4xl27FNtb8X76/+vy8XKzMBAHSN
zGTdWkhmIjNZZn9e/PmRmZAlKjORmZxzf5nJSspMAABdIzNZsVar1iA5E6mp
MXNfunlM8rJ99bbHXG/odU72z9J9hbnXPzke1f08vYbmutnMse2tAVt3/7NZ
yer7Zdn9S7I/z89I69dkPTnfVc9Dtee7rtqJFTOTK8cufw3hRbe/LpNa9jeQ
ZTOTBeuElduxttvfZTO87VJmAgDoGplJS7WQzGTJmm3V15eZyEzIoSozkZnI
TNZVZgIA6BqZyao1Wt39ryXnap2jOvHaebXitEaq1lpXkhvPTNZ+/UpNPDcm
eNGx3k3bu6lsaNFat+X9uexY9db2L8mtsfbau23PHVzz/Lno+acuA1p5bs6C
27fq7eu+r9Yy9FWP65LHp2YuU/N2b5cyEwBA18hMVq1t6u4vM5GZyEzIIfuH
f/iHk9dee23ypS99aXLv3r3Jiy++OPniF7+Y/v2Vr3xl8tWvfnXy+7//+wu2
JRcoM1lQmYnM5FSZCQCga2Qmq9Y255vndOSxrtV/N9eQeWzwlWM3VQu39vpt
1cRr1oyt165LPm7Z/blyZrLu/iVZNTKSyEHu378/eemllyZ3795N/x1//7M/
+7PJn//5n0/efPPN1Hb83u/93uTLX/5yylDifrN5Svw9nucP/uAPlspTpnMB
F+7T9j2Hc9k5LJu+1nBb76/jNWBbz0wWbR9kJgAALIPMpN2aQmYiM5GZkNtt
zkgi4/jCF74wuXPnTspIIuv45je/OXnnnXcWbkMjT3njjTdSu5Jzl/ycOU+J
v+XxKeflKTKTJmUmMpNTZSYAgK6RmbRcU0zXuruWvHbiXA1Tc+3h09rnSrK5
ZmqoRadzRSpzQ1p7/er+WndNuYFmJkvvz1XXgB3mmn1kn1bHh0SeEeNCYn5N
jB9ZJiNZlHjOt956K+UpKaN57dXJF790f3L33mye8uLk/v27k9/4hWuTf/J/
fnjy0798d/KT11+clJeZnFiZu1ibnZycN68f3XZ9rblKy76/gWYmS7cPMhMA
AJZBZtJyTSEzkZnITMhejf7S1772tTS24+WXX04ZRfxv/C0yjLfffrvXdjfn
KX/yJ3+S8pRXj7bzi/denNy6c29y63bkKbcmX/ziC5N/9olfmdz46C9Mfu3u
Vye//OIfpPd1/B5lJjKT8x4nM5GZAAA2gcykqaaoWyP02PnapHItydo1Oc+/
5uRjV64lr125kly4Zqpbe/TatWRT1tL8+sfmaybXrjnatBbd1q0B21JmsuL+
bPqc1a+luOr+Jcsz+kcxZiQykhhHcvv27TQ/JubCRC7Rd0ayDJGnxBoqsd1f
//rXJ1+5/+XJF145HZ8S6628/PILk/v3f3fyS//wH08OPnRtcuPuH0x+8cXI
U1Y9fx7beH5vy6bz2Nw13pu2r+32YVGXrRPW28722l+ZCQAAyyAzaasWyo+T
mchMZCbkpo11QR48eDAdR5Izkj/+4z8utp+U85R4j5GnfPlL9yf37tyd3Ln3
0uT20T64d+92ylP+6cduTJ762f9n8qt3f29y48WvH/Ufn57ITGQmMhMAAFZD
ZsJSjOMa/agYf5+vBXo6lp3kkI3v9quvvjp55ZVX0vVqYrxF/Du+47EO664T
ecqf/umfpjwl76t8reQ7KU+5l/KlWI82bovzZOQuzpEcmjITAEDXyEy4zcZc
/6j/Y/3GyEHid+UYfx99geg7xW/LsZZi9KFyvyDG5s9eDyP6VnH/6CfIUchh
GP352X5/fM/jux/n71gLBIsTc5MiT4n9Ojs+J/ZpPkfG+XQ2T4lzb9+fAfI8
ZSYAgK6RmbBLo47JOUjU5a+99lqq3yPjiHo96vio33MtX63n4/6z9Xxc8yLG
qtetVxB/j/ukdQGO+ls5R4n/zf2D2BY5Ctmv+fq/8b2MjCRy0DgvxN/jO47N
EOfIuL5yHIPIlHOeEvs/jHNlnH/jWMhTuA3KTAAAXSMz4bpGbRKZRNTbMR4k
6urIJ6LGjlo7xn1E7hH1d6zNmOvw+P047pfn0cRxiXHlUb/H78ibWrexLkeJ
7ZSjkN2YM5I4T8T5Ib6D8f2L716MidjE9X+xHLN5SmQlkafEeTKP68t5dpxH
5SnsSpkJAKBrZCY8z9hHkSnktUFyDpLHgsyOB8k5SM4c4n6RneTcIa7/EHV3
rDmwrf2g6BvENUhjm2fn9eR5PjG+RY5Crm6cU+K8MPv9yhlJZJjbem7A+URf
NM7r+brOcVxn85TZXLw6PpBcR5kJAKBrZCa7Y3VOzGwOktcGyb/35t8QowbO
dW/0d/KagZEvxG/BUY+U2tc5L0eJfEiOQjYb34s4Z+Tr/8Y5Jc4lcf6J71Wp
5w0c5ymRg1XzlPgMRM6e5/vkPCWPM+z7M8thKDMBAHSNzGS41q0NUs1B8nUT
8rUm8niQuH/0aaprg6gx6ol9M5uj5IwpX48i5yh9fzbIrs3949nr/8a5Js4x
MdZsU3PtMCxivGG0NeeNO6qOV5ydt9n355vbo8wEANA1MpPtcjYHiXoy+uBR
O+ZrxURfJF8rJteY+Te73GePGjOeI9YGidp0k2uD4DhHiT5h7Peo/3NGlcej
RN0f43P6/myRbRrnqtlrsOTPfHze49yjr4JliTwlMuloo/N6wNU8ZXa+T3z+
trk952aUmQAAukZmsnln10itrg2Sc5Dz1gaJ23KfO9eGeW2QyEGMbd9eco4S
v7vHcY5jG8axzvN65CgcmtXr1EZ/Nj7LcVv0d4FNEG1dtHmRp8TvAXl8Sh7n
lz+Ls+NT5CnlKjMBAHSNzGQ14znynJjzcpDIPPJ4g8hBoqarrpGa1waJvnWs
DbLNa6RifeL4xu/vkZ3F5yCysdkcxXgUbpvxeYxzW5zT4rMafdQ4f8X5L/qw
QN/kPCXa0Xwtpvi85vEp+Rwb59zI+3KeYh2q4SozAQB0jczk1Nk5MVFX5bVB
ov7Ka4NE/ZWvCxCZSB4PEv2KnIPEc8XvYdYGQRM5R8njUXKOktdHjM+ha02w
K+OzFuNG4pwW57f4PEaeF3+P8xkwJCJPic9t5CnRNufPdh6fktvwnKfMXu+t
7+8i65WZAAC6puTMZHZ91NmxINEHqM6Jmb1WzOzaILPXR8xrpFobBJskfjON
z1vU7/E5zL+VylHYtvl3+fic5X5knBujfxlj34BSyXlKZNZRJ+TxVLN5Sh6f
MvubiDylf2UmAICuGVpmct5YkMhAoq6J+iZ+M4qaJ34fzWuDzF7XcHYd/qiV
8togchBsM7M5StT1uaaPz3V8/mevf0TWGee9fP3fOC/G+TE+T3FOjHOhuYHA
+XlKnGvPy1OiBpn9bYWbV2YCAOiabctMqtfNzWNCZq8Vk9cGyevnz85Pzmuk
WhsEpRM1fXxX8/z9XMvn74UchXFOjfNpfB7inBkZSfT9IiOJcXPOkcByxO8r
MQYr5ylRp8R3avZ3mjznJ49ZjTomvoORvcT5Or6T8dg4Pxu3srwyEwBA13SZ
mUR9MHvtmOocmTw/Juch+bq50fbF+iCuFQPUk38bje9LzlFy/Z7HWfk9tGzj
2M9mJPl8GvlZ5MnG0wGbI87B8XtNZCpRs8R3crbuiXwlMpT4TuY1avMa8VED
5TGx+Zp5cpbzlZkAALqmzcwk5vpGbR5ZR76GzOzaqXXzCeL3mqgxtG1Au1Rz
lMgnZ9ftyTlKfH/7roO5vHFcoz+Wf+vOGUkc6zivOqcC202co+N7GufpGPsV
39s85jZqpJyzxLk7z6fL41lyzhK35ZwlLD1nkZkAALpm0cwk8pDZ30ryGJG8
fkjU6tGG5zEis/Nlog4wRgTYDuJ7GBllfK8j35zNUeK7m+fny1G207y+Qhy3
vF5THMe4Tf8AKJ+6nCX/bhXnh2rOkse0xO9Wca6P2/LvV7PjWeLxUevFc21r
GyAzAQB0TW574neIfH2Z6DPNzpmJNrb623QeIxLjvaP/Zcw3MFyqOUqe15HX
R5Gj9Gf0XfI1PfIY/jge0SeIeQAAsAhRp8XvV7HmW9RucQ6J80teQy5ylrx+
XK778vzO+NvsGi1RB8Z5KB7Xdc4iMwEAdE38xpB/h4j2MP4duUm0fdE2xW8Y
1lMFdo/4zkdtXc1Ros+er78pR2nfyKJz/yX6KpGTxHk59nP8rgwAXXFezpJ/
Y4vz1Ow6/fmahXmt/jyeJW7Pc4ciZzlv7pDMBACw7chDACxCzlGixo3aN+et
ee3C+Ftet7nv7GEoVjOS2J/x35Fbx9gfABgSF62FO7ve3ezc7tk1WvJ4lvPm
DkXO8ju/8zspM/nwhz8sMwEAAMDWE79Dxni0qImjts3Xg5hdH0WOcmqMF4na
P/oCeexO7Kf4vTXyKBk2gF2jLmeJ82KcL3POEuNWYgxLZCy3bt2avPDCC8nf
/u3fTm1PGONhQpkJAAAAtpWco8RYidkcJf43z+vJa0T3nWF0kZHEb6Oz8yAj
I4m/xT6SkQDA8syuhRvzhwAAAIAhk3OUyEpmc5S8jlIpOUpsf+Qhs+8xfhuN
dRLj91PrZQMAAAAAgCYiP4gcIbKSPA4j5ygxHiXmvm97jhLbFnOPIiPJ122O
7Y/x5HENUBnJ8Ig5AnFcI8fLa8zEsY1jHMc6jnvMo3JsAQAAAABdEmOtZ3OU
vEZgHo+yDTlKvH6s0xJrFOY5R7FdcZv588MjjlkcuziG+fMWxzaPfcrXCYl/
5+uE5PtFnjK7/rE8BQAAAADQJTlHiT5pjD/J/dX47T9fHz36tpvMSKK/HH3j
fA3N+HfkNjEmAcMiPk8xBmj2GtrxWVplveJqnhLPk6+5Gp+V2ewl7h9rXMpT
AAAAAACbJPq9cW2EnKPEHIo8HiXmUESOEmvQrpKR5Ov/xniC6PeG8Zyxnqu1
BodHZBTxWYk1ZWYzkjimkXdsYsxSPGd8/mbzlMhPct4Xn6n4fOVxU5HhRJ5i
TWAAAAAAwCaIMR+zOUr0S+P3/tl5PeflKJGRRMaSx7DEY+L+8fe4JgOGReQO
sd5w5BWRjeTPQM5IIvvqa17XbJ4SGU51fEpcQzVfpzt/XiNPic+hPAUAAAAA
0CaRo0SfM/rKkYnkORN5Xk9edzZui9/7Yy0KfdNhEccrjltkZZE1zGYkkUv0
nZEsm6fE5zC2O+YK5Twlj6OKPCXGq+Q8JTJCeQoAAAAAoC1ifk3kKNHHjvEI
+pvDI+axRGaQc7DIvuK/Y7xQjA/qO/vYZJ4S7zHylHi/s3lK7IPIjPI+iDwl
Pus+3wAAAABizYL4vTX6wNG/MF4AKIf4bkcOEOMuIiOJ8Rb5etSlZiRt5Ckx
puq8PCXWVJanAAAAAMMm1vmMvlLU99EvmK4B8OVXJve/+OLk2dsvTZ69FX2C
28nP3bw5efpXfmXyiX9xa/Jbn7szXRP01Ve/kvoJchRgGER/PubURP8/r8Mb
ff5Y/2PVtX131diPOU+J+UqxH6t5SmRReR5TnG9dDwoAAADonsgrohaPcfVR
l8+uhRi1fPw2GhnHi3dvTe7cvj159vOfn/z2b/7m5Kmnnpr83M/93OQnf/In
Jz/0Qz80efjhhyff/d3fPfl3/vtfmvzrP/yLR3X+x4/6BgeTvdE4uX/4ejLq
/1jH4sGDf3L03J+dfPafPT259fwLk7tfeHny5QevptvlKED/xHkh+vcxbiTG
kOSMJDKTTV5HetedzVNiX8c+jwxl9jpUcV7OeUqM45OnAAAAAIsTeUP8JhzZ
Q8yfP/ub5peOavCXJi987rnJC7/73OTWrVuTF269MPn0b3x68quf/NXJb9x6
ZfIrL3w5/cYZvx/HY2KNia8fXp380TP/82Q8GiVHde4dJCMvOS8zOe0bnN7+
A3/xP5j8w89/bfLk7z6Yufbn7cnLL9+bfPmV+2n7XfMT2CwxhizWlImMJPrl
Md8mvo85I9nE9X+5fJ4S5+PZPCVl2ifjU/I6yrN5ShxXAAAAoHRibZDIQaIG
jn5Nrp1fey2u4/Dy5Pbnn5+88LlnJ7fu3J3cunU71dDx22TU09Hvid8lY9zI
a6/92lE9/cuT/+bf+puT/+pf/Z7J/jPfOM4yDvaSo9GxB0f1+cFsvX64nxwf
3TY+7/Y5F89Mzrs9xql87Wu/NPnf/s4HJzd+9hcmv3vnpcnto/f28hfuTl57
9Sup/yZHAVYnzimRqUb/OvraeQxD9MVjLJiMZFjGXMfjNuG16XyffA2q2Twl
H1t5CgAAALadvDZIXiM1at6vxdogD+5Pbj//4uT5z9+e3Hnppcntu3dTzZtz
kKh9ox6O+vfBg18/qpH/v8n/+O/9ncnf+ze+d/KRwz+c/INnLurr1GQVW5aZ
nHf7Tx3+0eRrn//o5MGzB5OPXfuVyWd+6zDtm5eO9kf0E6If4BqfwPnE9yLm
30WfOc4h1ev/ykjKNbUtR8c95ymRo8exj3YlPgfxeYisLDKX+BzEGMXI1AAA
AIA2iT5J5CDza4N8dfLyvS9M7j53a3L7pS9Obr/40skaqbcmh7/1mcnTNz41
+c1bL09+9fkvHdWzvzF59dVfn/yD7/meyQf/8l+e/I2f+dzkoZ965oJ6uCl7
WO7+h/vj5Gi8nzyMv5153Cg53j9Mrr5dq95+dju+66cOJ//5//H5aT8g5vzn
PkDuB0aOAuwacT6KPDbm1cR3I1//d3buRt99efZvzlNiLmY+j8b8yPi8RE4/
m6fE/eUpAAAAmCWvkZrXBsnXj/zyV16d3L338uTl+/cnL52skXr71q3J737u
dyef/uefnnzm9hcn//xWzIl5+qiP8qnJ//K3fnxy5a/+4OR//9zXJv/r575+
1F9ZLBNYP5tY7v5Dy0zO247oA0SfMOr8V155ZnLv3q3JredemNx57tbk1de+
mu4T85yAkohzVeS1kdPGXLzo7+br/+br2fbdP+ewzOfSyFPytZKP15u6cyZP
yWsCx+dPngIAADB8ZtdIzWuDRM334Kg//eUvv3KyRuqzk+fTGqm3Jy/cvZfq
xBjL/KUv3Tq6z/OTj//9vzv5v3/0eyff+Z3fOfm2b/u2yb/2Hz82+QvvfXSy
Nx4n5/v4dX3/msxgOhemZs3VhddarbrY/Q/2Rsm57KS17Vrz9iW344f+0n80
+Ym/8ujkk889mPzW7VemaybGb6rRJ4jnlKNgaMQYqujXRn82xgXEOKuYtycj
4SbNYyjz+JQYu3RenhK3Rdsa7aw8BQAAoF+iFstrg0R9djre+MFRf+KVyd3n
Pz+5/eznJs8+++zkhRdemHzm8POTX/sXvz351I0bk+s///OT//fZ+5OPPftg
8tprv3rUh74x+fF/8/2TH/pXvjutDXK2L3+Y3B+PktM++ngvKTPZzszkvOeJ
z8jxtYSOx6NHnX/37u2jPucXJ1997bX0OZKjYJuIz2NkvPHbfnxe8/V/o28a
fdi++9Lk7PXqz8tTIteL823+zMZ51jpUAAAAq5HXSI21QaIWm63D4nfVGPeR
67Bci8V8/dnrxETfIvrFkZ/E711+e+VFnp+j3E390vgMRX0fc7WALojPWvRB
45wX57r4POb+Zp4PQQ7FPLc1z508L0+Jc22sVRvtfcyHlacAAIBdIq8NMr9G
6nH9lHOQPG8iPJ0T86XaHMRahtyk8RmNz1vU9/nzGcbnMdZFlKOgLSInjs9T
9BnzdWJlJNwFc54S59rZ30UiR8m1wOy8s8hTYtyVPAUAAGw71TVS89ogs7/V
537m7du3p9fLjb/l8SBh1EjxmOiDRh9VDsJttpqj5Dn8OUeJ70L0f4GLiDmF
8VmJz1L83h6fo+p1X/v+rJN9O5un5N9X4nuSf1+prnUcv8nIsQEAQFfka+fm
NUJiTEj0E/N1XXNfMY8HiTomape4T85B4jF5XkxkIefZd01GrutsVpj7v3IU
zBIZSfTn4pwYn5GY9xXnzfjMxLg5GQm5nNXfaarjU/I1tvNvNFGX5JokHhu1
TayDFnOA4vxs3AoAAJglXz8mz5OJfl2MCY/xr1FjRK2R5xjn+TGzWUjc/6Ic
ZBn7rrvIts2/jcZ3anY8SuSL8e+4Lb57cpRyiXNs9MfiXBl9ttx/i75d9Nuc
+8jNGefgqFHyGipxLs7rqIRR00R2mddGy+NW8vc0bov75PnAszlLnLvj96QY
zyJnAQBguERfLF9PN68bMrsmw+y6qTkPidog6orZtUK6sO/aiuzCao6Ss8lq
juKanMMk+k5xzo3jGOfUPAYvjq3r/5Lb72zOEnVQXl8lcs74HsdYlcg/49wd
3+2ooWLecc7Dc84S95/9bSmeW84CAEC35GvrRhscmUO0y5F35LY8+mG5LxZ/
mx0jEtlJm2NEZCbk6uYcJa97mNf+jP+N72zknTFWQY6yncR5OM6lcazyOXd2
rcq+P18kN2tdzhI1WZ4vlNd2i4xldjxLNWeJPH02Z4k5nZHDxphgbQAAAGeJ
3yGinxRtZnW9yTxnJtrdvJZq3JZ/14g2O6+jOhT7rnnIbXI2R8lz5XKOEnW4
HKU/ou8S56w458Y5ePb6qDISkosa55E4l0dGMjt3KOcsee5Qnjc0W/vlnCXO
Q3lscDxXtB1yFgBA6UR7mX+LyGNE8jV2Z9cu26YxIjITcvPmNYeqOUqcL+K8
EecEOUr7RH4d+z72cZyTo9/i+r8k+/C8nCXPHcrjWSJPifYhj2fJOcvsWrjx
uHh8/n2tuhYuAADbzGc/+9nJZz7zmXPbyZLtuw4hh+hsjjI7rydylPhb5Cjx
e6O584sT/YXYt9GnyPsz+hmRmchISA7N8+YO5fEss2vhxvkufq/L41nydb1m
rzlUXQvXNYcAAH0QmUlYbfP6zjRkJuQwjO9T1MU5R4mxETlHyfNH5CinxLic
qP2jLxD7KNZzjP5D9Ccij3L9X5K7ZvWaQ9WcJdqWnLPksSxx7rx161bKWiKH
iTlCYYzVy+veancAAG0gMyHZtjlHiZo3atn8W2LUvJGjxO27kqNERhJrZ0c/
YPb6v7FvYh/JSEhycXPd+uEPf3jyMz/zM5Nf/MVfnHziE5+YPPfcc8k4p4Yx
FsW8HwBAG8hMSHbh7HiUyFHyWh2zOUpcF3PoOUpsf4wfjzEj8T7zePP4vTTe
v/MPSa5urls/8pGPJD/2sY8lZSYAgE0hMyHZl/FdjPEX+brlszlKjM2Ounfb
c5TYthgzE2PKc0aSr9sc78H5hiTbU2YCAOgamQnJbTLmtMd4jBiXkXOUmLs+
m6PEGoB95iiR48T1H2KOfWQksY352hCu/0uSm1NmAgDoGpkJyW13NkeJsRxx
HcvZ8Shxn8hRNkU8d5w3YuxIvG6szyIjIcnulZkAALpGZkJyiEZWEfN6IseI
7CRyjMhSYmxKzlHeeuutlc6Lcc2FqLljzlCMIcnPG2uxxPiSvt87Se6qMhMA
QNfITEiWYs5R8ryePB4l/jv+Hvc5L0eJujpui0wk1iKZzUhinZK+3xdJ8liZ
CQCga2QmJEs2cpQYd5JzlMhQciYSOUpc0yavlxLjSuJ6N67/S5LbqcwEANA1
MhOSu2bMr4kcJeb1xDopMhKSHIYyEwBA1+xqZnLr1i2SJElusTITAEDfyExI
kiS5jcpMAAB9s6uZSd9jS0mSJLmcMhMAQNfITEiSJDkEZSYAgK6RmZAkSXII
ykwAAF0jMyFJkuQQlJkAALpGZkKSJMkhKDMBAHSNzIQkSZJDUGYCAOgamQlJ
kiSHoMwEANA1MhOSJEkOQZkJAKBrZCYkSZIcgjITAEDXyExIkiQ5BGUmAICu
kZmQJElyCMpMAABdIzMhSZLkEJSZAAC6RmZCkiTJISgzAQB0jcyEJEmSQ1Bm
AgDoGpkJSZIkh6DMBADQNTITkiRJDkGZCQCga2QmJEmSHIIyEwBA18hMSJIk
OQRlJgCArpGZ1HmQ3BuNkqMax/uHydbqgYO95PQ1xvvJw6PbDjupR/L7Hif3
D19Pbu75DpP741FytHeQ7Lsm2579R5IkszITAEDXyEzqlJnITLZh/5EkyazM
BADQNTKTOpv6vpVMZe2+/tnn2zt4Pdl9PVL3vlfNAi5+3MHeKNl69tSbMhOS
ZLk+88wzyYcffjj54MGDZFevLzMBAHSNzKROmYnMpM39R5Lk8JWZAAB2DZlJ
nQv2fQ/3k+PRXvLg6G8HK9UB29LX7iYzOdwfJ4c/F2dbjyNJkpvziSeeSHad
nchMAABdIzOpU2YiMxnycSRJcnPKTAAAu4LMpM5F+75n1zCdm1MzzVRGydP1
Y/eSB0evcXDBWrPVOSt5LsvcerRz2cOic4uaspGDZO1auI2ZR+X59veSC69t
27j/ckZ19nX29o6d38+V7Vh0Td8Vt0NmQpIs2a6zE5kJAKBrZCZ1ykxkJutv
h8yEJFmyMhMAQOnITOpcNzNpePzJNYVP++htr7HaVmbS1tycs5lL8xq3q+6/
49eZzz4a1uydXuN5yQykteNIkuRwfeSRR5KPP/54clOvIzMBAHSNzKROmYnM
pMvjSJLkcJWZAABKRWZS57KZyfjYfL/auRx1c1sWfL1p3776XOPk9mYmJ487
2E+Oj/57vNDaum3tvxVv39RxJEmyAJ988snkQw89lMzXIt7U68lMAABdIzOp
U2YiM9ngcSRJsgBlJgCA0pGZ1LnmtYaXvgZxw+vVPl9NZrOtmUl+XO1cmKb3
u+rxWjczaWs7SJIcvl1nJVmZCQCga2QmdcpMZCab2A6SJIevzAQAsCvITOpc
tI99vKbo/JqmTWuSLvl6OWOoXqN32qevznVpuAbyNLNYdE5P22vUHnu4P07O
X3u45f23dobU1naQJDlcczbSdVaSlZkAALpGZlKnzERmsontIElyuMpMAAC7
hsykzvOvkVu/5mqNTWuILrx26NkMZPr48V5ybzxO1mYtc6+7l1w2GznYGyXn
t79pP16cIUyftzYTWnf/rXl7a9tBkuTwvXv3brLr15WZAAC6RmZSp8xEZrKJ
40iS5PCVmQAAdgWZCUmSJIegzAQA0DUyE5IkSQ5BmQkAoGtkJiRJkhyCMhMA
QNfITEiSJDkEZSYAgK6RmZAkSXIIykwAAF0jMyFJkuQQlJkAALpGZkKSJMkh
KDMBAHSNzIQkSZJDUGYCAOgamQlJkiT7NNejJFmaGD75WFbbrr4zDZkJSZLk
bth3n4YkNyWGTz6W1bar70xDZkKSJLkb1tWjJDlUZSblIDMhSZJkn8pMSJam
zKQcZCYkSZLsU5kJydKUmZSDzIQkSZJ9KjMhWZoyk3Koa6Ou3nyzaH/6098k
SZLkFug3PJKlKTMpB5kJSZIk+1RmQrI0ZSblIDMhSZJkn8pMSJamzKQcZCYk
SZLsU5kJydKUmZSDzIQkSZJ9KjMhWZrV89qbb76ZfOutt5Jvv/128p133kli
e5GZkCRJsk9lJiRLU2ZSDjITkiRJ9qnMhGRp5vPanTt3kvfv309+4xvfSObs
RGay/chMSJIk2acyE5KlKTMpB5kJSZIk+1RmQrI083ntqaeeSj799NPJnJ28
8cYbyTxHB9uLzIQkSZJ9KjMhWZoyk3KQmZAkSbJPZSYkSzOf1z760Y8mc3aS
5+rk+8lMth+ZCUmSJPtUZkKyNGUm5SAzqfOTyUujUXL0vk8mm+//3uT7P/7N
ZN81yHC2b9XtPLn/uz+U/ODR3z7YyXY8l3z/u0fJ5s/HtjuUzwdJskRlJnUe
JPeOatFwVON4/zDZWn/vYC85fY3xfvLw6LbDTvqb+X2Pk/uHryf77gOTy5jP
a1evXk0eHBwkn3/++WReC/Zb3/pWEtuLzKROmckwtlNmslufD5JkicpM6pSZ
yEw4VGUm5SAzqfNsH/JdR/3i8NLVbyab7r9+n3Pbn29TDiMz+cD7Rsl3/chz
yf73W9f7nSS5i/5PH382+T3/yfclP/RPv5Zc93llJnU2ZQeVTGXvILl6P+/s
8+0dvJ7svr9Z975lKRyO+bz2kY98JPmxj30s+dxzzyVlJsNBZlKnzKQfZSbD
2O8kyV1UZiIz6UaZCYevzKQcZCZ1VvqQVz+UfNe7j53vm297xjGUPvF2ZyYf
/JH3Joc/F2eonw+S5Db4t//L/yHZVnYiM6lzwYzgcD85Hu0lD47+drBSP29b
MgmZCYevzKQcZCZ1ykz6UWYyjP1OktxlZSYyk80qM+HwlZmUg8ykzvP7kPVz
Mhr6nB//UPJdo1GyunbX6ZyfytqzVat99drnfTT5gaP7fOC87csZUOVxtXNN
Ft7+dR9Xtx+XXZO3skbrottbtx0/8mhy9O4PJRuzmRWPy6X3HXt6v08m57aj
8n6WP24Nnw+ZCUlyAdvKTmQmdS6aERwm98ej5NycmmmmMkqe1gN7yYOj1zi4
YK3Z6hqzB3uj5FydOjc3aNG5RU3ZyEGydi3cteckke0rMykHmUmdMpMzykxk
JiRJVpSZyExkJuT5ykzKQWZSZ1Pffdm/H/f15/rq0z7te5PNz9e0fSdefTR5
2peuZA7Vvn/jdqy6/eu+7+eOPck+mrOOs+9/9Tk052dXS2ctSx6X+iyuJivK
73PZDKR2O2QmJMnl/evf92jye/d+OLns42Umda6bmTQ8/uSawqeZyKpzX1ad
S7Ps48zN4XCUmZSDzKROmYnMRGbSdw1OkhyGMhOZicyEPKvMpBxkJnUu1uc8
7cPW3H+aDTyaPO3TnjXP+Zmfo7PaXJ/5uTyL9YnntmPV7W/pfedrPC99Td/K
/ln+msB1c5mqGc/Fr7v+cVnx9g19PkiSnPWxqx9P/vt/5buS+VrEyz6PzKTO
ZTOT8bH5frVzcurmtiz4eidZy/xzjZMyE1JmUhIykzplJjITmUnftThJcruV
mchMZCbk+cpMykFmUmdTH/LsGqOXrn7y2M4zk4ufd/X303dmcjJX5d3vTa57
bd/pNYLXnWNTOxdmU8dl3cykre0gSfLUtrKSrMykzjWvNbz0NYgbXq/2+Woy
G5kJd1iZSTnITOqUmchMZCZ91+Qkye1UZiIzkZmQFyszKQeZSZ0L9iHn5kC8
N7n8WqjVvu2ifeW6tUPr3k/N/Ru3Y9Xtb+d911/jeTlzdrL4/jp//08zmLlr
D696XFrOTFrfDpIkvznNRtrKSrIykzoXzRyOr8E7d43hyu3VawYv/Xp5Ts54
P3l49LfwNEsZJ08f13AN5Okcn0Xn9MhMOBxlJuUgM6lTZiIzkZn0XZuTJLdL
mYnMRGZCLqbMpBxkJnUu14c8nftRzUxOrF2Ts+b+J+asYH7NzqbnvXiNz0vv
O7Z6/9o5Kytu//KPq9vvZ+cOzWcVFadzaKr7pGZOzYrHf3p8aq/dvNxxaS8z
We/zITMhSV7klRtfSLb1fDKTOs9mHs1rrtbYtBbswmvAns1Apo8f7yX3xuNk
bdYy97p7yWWzkYO9UXJ++/vvJ5NZmUk5yEzqlJmcUWYiMyFJ8kSZicxEZkJe
rMykHGQmJEmS7FOZCcnSlJmUg8yEJEmSfSozIVmaMpNykJmQJEmyT2UmJEtT
ZlIOMhOSJEn2qcyEZGnKTMpBZkKSJMk+lZmQLE2ZSTnITEiSJNmnMhOSpSkz
KQeZCUmSJPtUZkKyNGUm5SAzIUmSZJ/KTEiWpsykHGQmJEmS7FOZCcnSlJmU
g8yEJEmSfSozIVmaMpNykJmQJEmyT2UmJEtTZlIOMhOSJEn2qcyEZGnKTMpB
ZkKSJMk+lZmQLE2ZSTnITEiSJNmnMhOSpSkzKQdtFEmSJPtUPUqyNGUm5aCN
IkmSZJ+qR0mWpsykHLRRJEmS7FP1KMnSlJmUgzaKJEmSfaoeJVmaMpNy0EaR
JEmyT9WjJEtTZlIO2iiSJEn2qXqUZGnKTMpBG0WSJMk+VY+SLE2ZSTloo0iS
JNmn6lGSpSkzKQdtFEmSJPtUPUqyNGUm5aCNIkmSZJ+qR0mWpsykHLRRJEmS
7FP1KMnSlJmUgzaKJEmSfaoeJVmaMpNy0EbVeZDcG42So72DZPP9x8n9w9eT
fX9Xh7N9q27nyf3H+8nDo78dtrodJ8e/xvH+YbK193+wl5y+xtF7GrX6vvr+
nBwm98ej5Nw+7fz9kiS3QfVonaXVo+TuKDMpB21UnaW1Udu+fatup8xkWJ8T
mQlJcl71aJ2l1aPk7igzKQdtVJ1n25zxUf8u3Dt4Pdl0//XbqG1/vk25bZlJ
3XYsW8Ms+nrHz1f/Oetr/6/5+TncT44jZ7ro/Z3cb//otv2tev+lvi5JLucz
zzyTfPjhh5MPHjxIrvu86tE6+65HSa6qzKQctFF19t1GbfvzbUqZicxEZrK9
30+Su67MZNfqUZKrKjMpB21UnZU252A/OR4fO9833/aMYyht6FAykxOnWcBe
8uDobweDPj5tZyZn5+L0lwVt+3HYluNPkov5xBNPJNvKTtSjdfZdj5JcVZlJ
OWij6uy7jdr259uUMhOZyZA+f0N/XZJcTZnJrtSjJFdVZlIO2qg6z29zDvZG
yfm1PxvaqMrchOral6d9yYa1R6tzQGqfdy952oevaXMrj6td03Th7V/3cU19
9kXnwly81mhz333RmqMhE2g8PgfJuuNdPR7589f4uVh4blFTNnKQXPjzWHv8
18yU1v0c7e8l6/dv29+7w2T+XMx9r/Jav+Nxsu59rT/niyQ3a1vZiXq0zr7q
0Zrna2xPK9u/cJ1KlqfMpBy0UXXKTM4oM5GZyEyWOK4yE5K7ocyk1Hq05vlk
JuTCykzKQRtV57JzFBbr69f3qcfJxedCNNx+0ier7RNWr+nauB2rbv+67/vw
2GXnduQ+6cp9znUzk1WPz7JjaVedS9PW57vBfJxrxxAv+v7W+/zNfQ6m13Ru
yBZb+97tJU8zsvzvRV+XJLfbRx55JPn4448nl328erTObalHW25P59rL/j/D
ZNvKTMpBG1XntrRRMhOZSZuf07Y/3w3KTCYyE5K7oMyk9HpUZkIuq8ykHLRR
dS52rj9tO2ruv+DchDzGcuE+d8PYyvmx/Yv1yea2Y9Xtb+l952vqLd2mVvbP
8m3yspnJ+Ni5497u8TmtTarPNU5ubWay6tycTX1/Vn2fSx/X84/b4nPSSHK7
ffLJJ5MPPfRQMl+LeNnnUY/WueX1aOPrLdlekgUpMykHbVSdW95GyUwuVmbS
8HwyE5kJSa6vzGTH61GZCVmrzKQctFF1NrUR1TkZB8d2npks2hdd9v30nZkc
jwEdx/qYsU7mmm3q4f442foasHXvs+3jU/t8NZnNtmQm615reGszkyUzIJkJ
ycJsKyvJqkfr3PJ6dM2MhixZmUk5aKPq3PI2SmaylDITmYnMhCTbU2aiHr1w
+2QmpMykILRRdS7bZ85jD+vmSDStuVVtUxZto06yhca5Jw33b9yOVbe/nfdd
f0295czZyeL7a7H9X98HXvb4NIy9XXjt3oasYtqHX3ROz5p9+sbM4OznYv/o
tv1zMrT2vz+rrp277HG1BizJMszZSFtZSVY9WudQ6tGL15y11it3UZlJOWij
6hxKGyUzWUaZSeX5ZCYyE5JcQpmJelRmQi6mzKQctFF1LteHOZ37UW2jTqxd
C6vm/ifmrKB2raymNbZq1gTb2zu2ev+mvuyy27/84+r2+9kMYC47qFq7Vmr1
WnhNx//k2nqNa67WuOLxaRp7O338eC+5Nx4na7OWudfdSy6bGTR+Hpts2h91
x7W1z9Fit6//vdtP5uNVrRWn54vK+117/5JkR969ezfZ1vOpR+vsux5drz1d
vA7q/zNNtq3MpBy0UXX23UYdKzORmRwrM5GZkOT2KDPZlXpUZkKuqsykHLRR
JEmS7FP1KMnSlJmUgzaKJEmSfaoeJVmaMpNy0EaRJEmyT9WjJEtTZlIO2iiS
JEn2qXqUZGnKTMpBG0WSJMk+VY+SLE2ZSTloo0iSJNmn6lGSpSkzKQdtFEmS
JPtUPUqyNGUm5aCNIkmSZJ+qR0mWpsykHLRRJEmS7FP1KMnSlJmUgzaKJEmS
faoeJVmaMpNy0EaRJEmyT9WjJEtTZlIO2iiSJEn2qXqUZGnKTMpBG0WSJMk+
VY+SLE2ZSTloo0iSJNmn6lGSpSkzKQdtFEmSJPtUPUqyNGUm5aCNIkmSZJ+q
R0mWpsykHLRRJEmS7FP1KMnSlJmUgzaKJEmSfaoeJVmaMpNy0EaRJEmyT9Wj
JEtTZlIO2iiSJEn2qXqUZGnKTMphV9uoW7dukSRJcgvc1Xq07z4dyc0pMymH
XW2j+q4NSJIkeeyu1qN99+lIbk6ZSTloo0iSJNmn6lGSpSkzKQdtFEmSJPtU
PUqyNGUm5aCNIkmSZJ+qR0mWpsykHLRRJEmS7FP1KMnSlJmUgzaKJEmSfaoe
Xc6DvVFytHeQ7Pv4FefhfnI8Gif3D19P9r5dHJQyk3LQRpEkSbJP1aPLKTPZ
sDITtqDMpBy0USRJkuxT9eiC5r78eC+5Nx4n2+/THyT3RuNkeZlB6e+P26DM
pBy0USRJkuxT9eiCyky8Pw5GmUk5aKNIkiTZp+rRxTzcHyfH+4fJ6r/bOyal
Zwqlvz9ugzKTctBGkSRJsk/Vo4spM/H+OBxlJuWgjSJJkmSfqkebPEzuxzyc
2bk407k6xx4e3ffwzOOasoHq7QfJvdEoOapaXXN2ulbqKFm9/97B68na1zvY
T1Yfnx+XM6Hq89ZlRNO1cWu3O79+0/tr2m/5eIySze+bu6jMpBy0USRJkuxT
9WiTMhOZCYemzKQctFEkSZLsU/Vog7XZSE2WMn3ssplJvn3Rxx1nD3MZQe21
eiuZxdF7Gc2+n4O9ZG02Mr392IOjvx1cuO/WfX/V289mJe3PiWJJykzKQRtF
kiTJPlWPNigzOVZmwgEpMykHbRRJkiT7VD16sU1rvU7nsFTnzmwqM5lmInvJ
uuwiz5U5zVRW3Z4Fb69kLqeOk2tnJgu+bzKUmZSDNookSZJ9qh69WJnJgrfL
TLhFykzKQRtFkiTJPlWP1tmwZumc1TkrO5KZ1G5P3dwlmQk3r8ykHLRRJEmS
7FP1aJ0yE5kJh6rMpBy0UQ3WjvFbdO2pbXPJa6fNjfEcmk3vlyRJ9q16tMZc
h1bXSp3zbP12mlHU/b3y/CvPXWlaA7aaLWwoM6nbT41r0VoDlptTZlIO2qgG
ZSYyE5IkuVHVozXKTGQmHKwyk3LQRtXYNPbu5Pb9o/Zhf6Gxhm276utd/Lg8
hrKcNkBmQpJkWz7zzDPJhx9+OPngwYPkus+rHj3fZeuy2rVg634D3NtLNtWF
p/evPO+0Xh4l69dczW5qDdjKb355O8Z7yb3xOLn4+1suM6ru17kMiTupzKQc
tFE1ykxkJiRJ8owyE5mJzGR2O2QmrFdmUg7aqBoXHguZHXZmUn+NuqErMyFJ
sm2feOKJZFvZiXqUZGnKTMpBG1WjzKQQZSYkSbatzERmQvJiZSbloI2q8+yY
u/oxkQ3XgKtkEHNjAOvGOlb6+nt7xzZeY64x86hkCPt7yYWzodoxmBdf2+50
+/P9DpJz21F5P7X7fcXtkJmQJNmebWUn6lGSpSkzKQdtVJ0yk3OVmZAkyRNl
JjITkucrMykHbVST568pNb+2U9trsjZlNuu+3tmMp3mtqobXO5nLdLqdi27/
yXbUrlW2ZAZSux0yE5IkN+UjjzySfPzxx5PLPl49SrI0ZSbloI1qUmay0OvJ
TEiS3FllJjITkmeVmZSDNmpJK3NCTrOGBfvmddd6m7sm27rXYquz8riD/eT4
6L/HFz1P7VyYurlBG7qWXOvbQZIkV/XJJ59MPvTQQ8l8LeJln0c9SrI0ZSbl
oI1aUpmJzIQkSSZlJjITkucrMykHbdRqzl+bt6FvPu3r7yVP55rkuT/jY7vO
TPLjaufCNG3/kq+z7u2tbwdJklzWtrKSrHqUZGnKTMpBG7WaMhOZCUmSu6rM
ZDvqUZLbq8ykHLRRNR7sJ+f72GfXhF14rdGcSVSv6TvNAKpzYzrOTE5un2ZB
c9ceXvTay4tu36q3t70dJElyUXM20lZWklWPkixNmUk5aKNqlJnITEiS5Bll
JjITkospMykHbVSd51+Td36N0bOPO9gbJefvd/41i0fjveTeeJxcPDNper2m
97Xg89ZmPDVrsG56Ddh8e2vbQZIkl/Xu3bvJtp5PPUqyNGUm5aCNqlNmIjMh
SZLnKTORmZC8WJlJOWijSJIk2afqUZKlKTMpB20USZIk+1Q9SrI0ZSbloI0i
SZJkn6pHSZamzKQctFEkSZLsU/UoydKUmZSDNookSZJ9qh4lWZoyk3LQRpEk
SbJP1aMkS1NmUg7aKJIkSfbprtajt27dIlmIdec1mcnw2dU2qu/agCRJksfu
aj3adx+PZHvWnddkJsNnV9uovmsDkiRJHqseJVmaMpNy0EaRJEmyT9WjJEtT
ZlIO2iiSJEn2qXqUZGnKTMpBG0WSJMk+VY+SLE2ZSTloo0iSJNmn6lGSpSkz
KQdtFEmSJPtUPUqyNGUm5aCNIkmSZJ+qR0mWpsykHLRRJEmS7FP1KMnSlJmU
gzaKJEmSfaoeJVmaMpNy0EaRJEmyT9WjJEtTZlIO2iiSJEn2qXqUZGnKTMpB
G0WSJMk+VY+SLE2ZSTloo0iSJNmn6lGSpSkzKQdtFEmSJPtUPUqyNGUm5aCN
IkmSZJ+qR0mWpsykHLRRJEmS7FP1KMnSlJmUgzaKJEmSfaoeJVmaMpNy0EaR
JEmyT9WjJEtTZlIO2qjFPNwfJ0ej0fnuHSRb+54d7ifHo3Fy//D15OrPeZDc
O3quvXOf7zC5Px4lW38/ndv0fkmS5LaoHq2zlHqmlPdBLq7MpBy0UYspMxma
2maSJIeierTOUuqZUt4Hubgyk3LQRl3saVaylzw4+tvBOfc72BslN581rNrm
XPy4vP3j/cNk3+eY/vYTSZKs85lnnkk+/PDDyQcPHiTXfV71aJ2l1DOlvA9y
cWUm5aCNuliZyVDVNpMk2bYyE5nJapbyPsjFlZmUgzaqxuncmL1kXVZyap7b
Mj52Y21Bu5nJNBMa/FyctvYTSZJs8oknnki2lZ2oR+sspZ4p5X2QiyszKQdt
VI0yk4GrbSZJclPKTGQmy1nK+yAXV2ZSDtqoGg/2kstmCfNzXJraiLrbq38/
SO6NRsnl16CtPN/+XnI03k8eHt3n8KL3Ns2QRsnT167OWTr7Ont7x57e7yA5
tx2V91M7R2jF7dA2kyTZvm1lJ+rROlesZ2rrpWP3Dl5Pzj+2ck2AhsdN56Y3
1qXqMu6eMpNy0EbVKDM5q8yEJElWlJnITGQm5PnKTMpBG3W+q85ZyY9rPzNp
+nuT+XFnM5f6NrNp+048yZbm3+/x68xnH5XtqO7fnFUtm4HUboe2mSTJTfvI
I48kH3/88eSyj1eP1rlsPXO2zpqr86ZZyjh5+nxns5LVrwnQdv1KDleZSTlo
o85XZtK0fSfKTEiS3HllJjKTi7dXXcbdU2ZSDtqoGlecm7P9mcnJ4w72k/Nt
ZsWGsZ3zYzBXfb8Nt7e+HSRJcl2ffPLJ5EMPPZTM1yJe9nnUo3UuWc8seA2D
PKdmmqksfe2DE6e/dVVrsnFSZsJdVmZSDtqoGmUmx8pMSJJkjTITmYnMhDxf
mUk5aKNqbO1aw1uameTH1c6FWXU/bDozaWs7SJLkqraVlWTVo3VuaWZSe/9V
62GyPGUm5aCNqlFmsuJ+kJmQJFm6MhOZicyEvFiZSTlooy52eg212mvyVq7J
NjeX5+ztc2txTTOLRccwtpyZnNw+XfN27n02rem63OusnyG1tR0kSXJZczbS
VlaSVY/Wuak1YOuyjgXXgM31a7VurF1jVl3G3VNmUg7aqIuVmchMSJLksTIT
mUlSZkI2KjMpB23UYk4zhdr1R6uZR8W6NbL29pLLZiPTLGdu7dO697BYW1Wb
ETWtwbrpNWDz7a1tB0mSXNW7d+8m23o+9WidZzOQujp0LuOorZca6tWG1zvN
YCq/Geb7jPeSe+NxUmbCXVZmUg7aqMWUmchMSJLksTITmYnMhLxYmUk5aKNa
cq5tamqTSJIkGapHSZamzKQctFEtKTMhSZJcSfUoydKUmZSDNookSZJ9qh4l
WZoyk3LQRpEkSbJP1aMkS1NmUg7aKJIkSfapepRkacpMykEbRZIkyT5Vj5Is
TZlJOWijSJIk2afqUZKlKTMpB20USZIk+1Q9SrI0ZSblsKttFEmSJLfDXa1H
++7TkdycMpNy2NU2iiRJktvhrtajfffpSG5OmUk57GobRZIkye1wV+vRvvt0
JDenzKQcdrWNIkmS5Ha4q/Vo3306kptTZlIOu9pGkSRJcjvc1Xq07z4dyc0p
MymHXW2jSJIkuR3uaj3ad5+O5OaUmZRDXRtFkiRJdqHMhGRpykzKQWZCkiTJ
PpWZkCxNmUk5yExIkiTZpzITkqUpMykHmQlJkiT7VGZCsjRlJuWQjyVJkiTZ
p9U+R9+ZhsyE5Krm85rMZPj03TaSJEmSYbXP0XemITMhuar5vCYz2R3ysb9z
507yqaeeSn70ox9NXr16NZk/EyRJkuQiykxIlqbMZPfIx15mQpIkyTaVmZAs
TZnJ7vHmm28m79+/n3z66aeTOTs5ODhI5s8CSZIkuYgyE5KlKTPZPWQmJEmS
3IQyE5KlKTPZPd56661kPrY5O8lzdZ5//vlk/gyQJEmSiygzIVmaMpPdQ2ZC
kiTJTSgzIVmaMpPd4+23307m7OSNN95I5s9EPuYkSZLkMspM6jxI7o3Gyf3D
15O19z/cT46P7jte5P5tv372YC85Go0q7iUPju5zsAV9WnKTykx2D5kJSZIk
N6HMpE6ZCTlUZSa7xzvvvHPGnKFk87EmSZIkl1FmUueKmUVrrprZ7CXnspGT
2/cPXk/23aclN6nMZPeQmZAkSXITykzqlJmQQ1VmAgAAAKANZCZ1DiwzyXNy
xvvJw6O/HW5B35XsQ5kJAAAAgDaQmdQpMyGHqswEAAAAQBvITOpcNjOpu3/l
7/t7yeoareP9w+TizzdKjvYOktW/zz9fw/YuvF0nTucCjZLVx+0dvJ5c/3GV
7TzYT1Yfv/x2VtfEPfs6e3vH5vv1nQFwOWUmAAAAANpAZlKnzERmIjMZqjIT
AAAAAG0gM6mz7cykmnGcPG56beCL+/D7h4fHjkfJ2kzi9cNkvl9zFrHqdh0/
bu55a6+53M7j5uYeNT6u5vidvL/TrGXZzInbrMwEAAAAQBvITOqUmchMZCZD
VWYCAAAAoA1kJnVuaG7O3PMs9rjxeHTssn35ytyU06xixe1quqbxiQd7o+T0
9VZ93ILHof71zp8DNHVublNfa/6yTWUmAAAAANpAZlKnzERm0n/fn6spMwEA
AADQBjKTOrclMzmZKzIeJ+fm0Czo4f44uXhGMJTM5OxcpGVfb/XjzW1WZgIA
AACgDWQmbfWhZSazykzYpzITAAAAAG0gM2mrD73ZuTn57zlTmJujc7CfbMoU
5tc8XS/LqV/LtZpVtPO4ufe96uPWPt7cZmUmAAAAANpAZtJWH1pmkpSZcAuU
mQAAAABoA5lJUx/65Bq3NTZnEO1mJnPXEp5ee/cgWbu9c3N6Vt2uE2vXWB0n
azOHpR93djv29o6tvr/aay83rQVrDdgilZkAAAAAaAOZSZ0yE5lJ/31/rqbM
BAAAAEAbyEy43coyuLwyEwAAAABtIDPhdisz4fLKTAAAAAC0gcyE263MhMsr
MwEAAADQBjITbrcyEy6vzAQAAABAG8hMuN3KTLi8MhMAAAAAbSAz4XYrM+Hy
ykwAAAAAtIHMhGRpykwAAAAAtIHMhGRpykwAAAAAtIHMhGRpykwAAAAAtIHM
hGRpykwAAAAAtIHMhGRpykwAAAAAtIHMhGRpykwAAAAAtIHMhGRpykwAAAAA
tIHMhGRpykwAAAAAtEFdZvK3P/nWoLx6882l/OlPf5NkIcpMAAAAAGwCmQnJ
oSszAQAAALAJZCYkh67MBAAAAMAmkJmQHLoyEwAAAACbQGZCcujKTAAAAABs
ApkJyaErMwEAAACwCWQmJIeuzAQAAADAJpCZkBy6MhMAAAAAm0BmQnLoykwA
AAAAbAKZCcmhKzMBAAAAsAlkJiSHrswEAAAAwCaQmZAcujITAAAAAJtg2zKT
7/3Z55P9ZyafTF4ajZKjGi9d/WZy/nHvTb7/499MNr7exz+UfNfRY961zOM6
8gPvGyVH7/tksu/tWd0Vjw+3WpkJAAAAgE0gM2nqW8tMQpkJt1mZCQAAAIBN
sC2ZyX/4yAeT3/Ed35F83//1SrL/zKSmb3310eRodOwHjv72gRL75DnLefej
yUvvfm+y/n01vf++90/fr89NKDMBAAAAsAlkJiv2rWUmMhNujTITAAAAAJug
78ykmpX8tb//ieT2zM1Ztu9fVp/8gz/y3uS7fuS5ZPXf7e23ruz79bkJZSYA
AAAANoHMZNW+tcxEZsJtUWYCAAAAYBO0lZnktVsXXcO1rayk97k57/5Q8oNH
f/vgeY+7+qHku0ajZF47dj5zWDCD+ZFHk9W1aGszjOnasmdfv34N2+xzyffH
PJzZuTjTuTrHzr/vmjVz3/dosv72s2vLTtecbbjf/PaOkvXvc9Xjw21WZgIA
AABgE8hM6pSZyExkJkNRZgIAAABgE7SVmTz0n/1w8t+99F3Juuyk7axk85nJ
Yn382sdVM5Wl146tPF/1dRuf7/hxc9lI07WNa7ORmixl7v23PTen7nFns5Lm
rGPV48NtVmYCAAAAYBPITBbsW8tMZCbcWmUmAAAAADZBW5nJ3/rHf5C89Ne/
L1nNTjaVlXQ+N2eaNTyanO9Tt7127IrP17idx+Y5MNVMpWmt13z7fHbUUmYy
zS6qedV7k8u+z9a3j1ulzAQAAADAJpCZLNm3lpmcuV1mwm1QZgIAAABgE7R9
reFqdpIzkk1lJZ1nJie312cKQ89MGuYkzbnoHKMF90/tdjesSSsz2WllJgAA
AAA2gcxktb61zERmwu1RZgIAAABgE7SdmdRlJ5vKSvrKTFrPODb2fE1rwFay
htprKFc9u/Zq7bV8l80k6l6/ds3aVdeAlZmUpMwEAAAAwCaQmbTdt5aZyEzY
tTITAAAAAJtgU5lJ13afmRw7XQt12sf/ZLL/zOTEadYwStaupXpy/zxXpzl7
qLz/ylqw+Xnqrs1cf/vZDGR6+7sfTV5693uT9fvh/DlFrWU63EplJgAAAAA2
gcykTpmJzERmMhRlJgAAAAA2gcyE5NCVmQAAAADYBDITkkNXZgIAAABgE8hM
SA5dmQkAAACATSAzITl0ZSYAAAAANoHMhOTQlZkAAAAA2AQyE5JDV2YCAAAA
YBPITEgOXZkJAAAAgE0gMyE5dGUmAAAAADaBzITk0JWZAAAAANgEMhOSQ1dm
AgAAAGATyExIDl2ZCQAAAIBNIDMhOXRlJgAAAAA2gcyE5NCVmQAAAADYBDIT
kkNXZgIAAABgE9RlJiQ5VGUmAAAAANpAZkKyNGUmAAAAANpAZkKyNGUmAAAA
ANpAZkKyNGUmAAAAANog9y1IsjRlJgAAAADWoe8+DUluSpkJAAAAgC7IY97v
3LmTfOqpp5If/ehHk1evXk3mPgpJ9m0+P+XzVT5/5fPZ22+/nQQAAACAdZCZ
kByaMhMAAAAAXfDmm28m79+/n3z66aeTuS9ycHCQzGPgSbJv8/kpn6/y+euN
N95IykwAAAAAtIHMhOTQlJkAAAAA6IK33normddOzH2PPNb9+eefT+Y1Fkmy
b/P5KZ+v8vkrn8/eeeedJAAAAACsg8yE5NCUmQAAAADogjyGPfc18tj2vJZi
7ouQ5LaYz095bmE+f+XzmcwEAAAAQBvITEgOTZkJAAAAgC7IfYts7nNkv/Wt
b5HkVlk9T1XPYwAAAADQBjITkkNTZgIAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAA+P/bgwMCAAAAACH/XzckAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA
AAAAAAAAAAAAAAAAAG8BSmzv7g==
    "], {{0, 559}, {1101, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> ColorProfileData[CompressedData["
1:eJyVlwdUU8kagOeWVBJaIAJSQm+CFIEA0msEAamCjZCEJJQQEoKKHV1UcC2o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      "], "RGB", "XYZ"], Interleaving -> True, Magnification -> Automatic],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSize->Magnification[0.4],
  ImageSizeRaw->{1101, 559},
  PlotRange->{{0, 1101}, {0, 559}}]], "Input",
 CellChangeTimes->{{3.737130050114478*^9, 3.737130054622306*^9}},
 CellID->1912826041,ExpressionUUID->"1c433fe9-8633-4cfd-a472-798fcf84d518"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Example 1: Grasshopper Component With No Parameters", "Section",
 CellChangeTimes->{{3.6209345545324335`*^9, 3.620934555078434*^9}, {
  3.622023059886774*^9, 3.622023063958542*^9}, {3.7320125069572735`*^9, 
  3.7320125163947554`*^9}, {3.7320125511308265`*^9, 3.732012552084217*^9}, {
  3.7372032223029985`*^9, 3.7372032308974824`*^9}},
 CellID->623985416,ExpressionUUID->"f35db75a-946c-4737-806b-e45d8a46486b"],

Cell[CellGroupData[{

Cell["\<\
Evaluate this code to install a new \"UVSurface\" component in Grasshopper. \
The input to the component will be a Wolfram Language expression that yields \
a grid of points. The output is a NURBS surface in Rhino that interpolates \
the points:\
\>", "Text",
 CellChangeTimes->{{3.6224122419387493`*^9, 3.6224122640114965`*^9}, {
  3.7320132475827627`*^9, 3.7320132479274416`*^9}, {3.732467697095112*^9, 
  3.7324676996269617`*^9}, {3.7372032689895253`*^9, 3.7372033151614857`*^9}, {
  3.73720353038988*^9, 3.7372035326395097`*^9}},
 CellID->975458917,ExpressionUUID->"bdf82058-6100-4ec8-9228-49ba8b01f9c4"],

Cell[BoxData[{
 RowBox[{
  RowBox[{
   RowBox[{
    RowBox[{"UVSurface", "[", "ptsExpr_", "]"}], ":=", "\[IndentingNewLine]", 
    RowBox[{"Block", "[", 
     RowBox[{
      RowBox[{"{", 
       RowBox[{"nu", ",", "nv", ",", "pts", ",", "obj"}], "}"}], ",", 
      "\[IndentingNewLine]", 
      RowBox[{
       RowBox[{"pts", " ", "=", " ", 
        RowBox[{"ToExpression", "[", "ptsExpr", "]"}]}], ";", 
       "\[IndentingNewLine]", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{"nu", ",", "nv"}], "}"}], " ", "=", " ", 
        RowBox[{"Take", "[", 
         RowBox[{
          RowBox[{"Dimensions", "[", "pts", "]"}], ",", "2"}], "]"}]}], ";", 
       "\[IndentingNewLine]", 
       RowBox[{
       "LoadNETType", "[", "\"\<Rhino.Geometry.NurbsSurface\>\"", "]"}], ";", 
       "\[IndentingNewLine]", 
       RowBox[{
       "LoadNETType", "[", "\"\<Wolfram.Rhino.WolframScriptingPlugIn\>\"", 
        "]"}], ";", "\[IndentingNewLine]", 
       RowBox[{"obj", "=", 
        RowBox[{
        "NurbsSurface`CreateThroughPoints", "[", "\[IndentingNewLine]", 
         RowBox[{
          RowBox[{"ToRhino", "[", 
           RowBox[{
            RowBox[{"Flatten", "[", 
             RowBox[{"pts", ",", "1"}], "]"}], ",", 
            "\"\<Rhino.Geometry.Point3d[]\>\""}], "]"}], ",", 
          "\[IndentingNewLine]", "nu", ",", "nv", ",", " ", "3", ",", " ", 
          "3", ",", " ", "False", ",", "False"}], "\[IndentingNewLine]", 
         "]"}]}], ";", "\[IndentingNewLine]", 
       RowBox[{"GHResult", "[", "obj", "]"}]}]}], "\[IndentingNewLine]", 
     "]"}]}], ";"}], "\[IndentingNewLine]"}], "\n", 
 RowBox[{"GHDeploy", "[", 
  RowBox[{
  "\"\<UVSurface\>\"", ",", " ", "UVSurface", ",", " ", "\[IndentingNewLine]", 
   RowBox[{"{", 
    RowBox[{"{", 
     RowBox[{
     "\"\<Any\>\"", ",", " ", "\"\<Expr\>\"", ",", " ", "\"\<E\>\"", ",", 
      "\"\<WL Expr that returns a list of {x, y, z} points\>\"", ",", " ", 
      "Item"}], "}"}], "}"}], ",", " ", "\[IndentingNewLine]", 
   RowBox[{"{", 
    RowBox[{"{", 
     RowBox[{
     "\"\<Any\>\"", ",", " ", "\"\<Mesh\>\"", ",", "\"\<M\>\"", ",", " ", 
      "\"\<Mesh surface\>\"", ",", " ", "Item"}], "}"}], "}"}], ",", 
   "\[IndentingNewLine]", 
   RowBox[{"Icon", "\[Rule]", 
    RowBox[{"Graphics3D", "[", 
     RowBox[{
      RowBox[{"{", 
       RowBox[{"Green", ",", 
        RowBox[{"Sphere", "[", "]"}]}], "}"}], ",", 
      RowBox[{"ImageSize", "\[Rule]", 
       RowBox[{"24", 
        RowBox[{"{", 
         RowBox[{"1", ",", "1"}], "}"}]}]}], ",", 
      RowBox[{"Boxed", "\[Rule]", "False"}], ",", 
      RowBox[{"Background", "\[Rule]", "None"}]}], "]"}]}]}], 
  "\[IndentingNewLine]", "]"}]}], "Input",
 CellChangeTimes->{{3.6223980619296675`*^9, 3.6223981004275055`*^9}, {
   3.622399615260711*^9, 3.62239962271689*^9}, {3.6224130956615906`*^9, 
   3.6224131215721273`*^9}, {3.629212461742575*^9, 3.6292124623509674`*^9}, {
   3.629222353825389*^9, 3.629222422917539*^9}, {3.6292224655674305`*^9, 
   3.6292225405394077`*^9}, {3.6292236095167513`*^9, 3.629223625678144*^9}, 
   3.732011672362375*^9, {3.7320139112777576`*^9, 3.732013913658778*^9}, {
   3.7326455898688173`*^9, 3.7326456057032237`*^9}, {3.7328795148167467`*^9, 
   3.7328795560537505`*^9}, {3.7328795899871545`*^9, 
   3.7328796050758176`*^9}, {3.732879636710041*^9, 3.7328796386873064`*^9}, {
   3.7328812174970484`*^9, 3.7328812361886497`*^9}, {3.7330480500617294`*^9, 
   3.733048067578514*^9}, {3.733049846871909*^9, 3.733049848894987*^9}, {
   3.7372072109620047`*^9, 3.737207216665642*^9}, {3.73722700583142*^9, 
   3.737227052633534*^9}},
 CellLabel->"In[18]:=",
 CellID->647856821,ExpressionUUID->"3225040b-357e-445c-ac8d-715d34885958"]
}, Open  ]],

Cell[TextData[{
 "If Grasshopper is not yet running, start it by executing Grasshopper in \
Rhino. If Grasshopper is already running, restart Rhino, evaluate \
WolframConnect, and restart Grasshopper to load the new component, which is \
in the Wolfram tab with a green sphere icon (",
 Cell[BoxData[
  GraphicsBox[
   TagBox[RasterBox[CompressedData["
1:eJztkc8rRFEUxz+xsbTwD/gjyEpNSWE3GlnYzOTNi8WjNyKSs8DCRtlIlFhM
IVOzUDYzSo2iKVM0C6wkwhRJqCk/7r1m676xldO9t3tvfc75fs9pjA2F4zVA
ok4d4ehYyPej49316hHxEgOu5/R3eCOO6/gtsVr12VDZ+v75t0LyIkWROfkd
lRN2oACX8ACPSKmqDJIVkpCDc7iHV/iAd7gLaKxsCrOwBQdwASV4U8Mwq4yk
bNWJwAxswD4U4QaeNKVLl7UMG9sDU7AKu5A3pW8N/gLPcG1lO2EYFozsPTg2
rq9MBqXhzMq2Qh8ILEEKsnAEJ0b/KRxa2SZoBxemDa6Mq2FljIYMUrD1qoJ3
QRwmYR6WYQ3WYRHZDmA13gwh6IVBGIUJ7ULSweB3yIpo721agySrpf7jp/gC
vePMJA==
     "], {{0, 20}, {20, 0}}, {0, 255},
     ColorFunction->RGBColor],
    BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
    Selectable->False],
   DefaultBaseStyle->"ImageGraphics",
   ImageSizeRaw->{20, 20},
   PlotRange->{{0, 20}, {0, 20}}]],
  CellChangeTimes->{3.7320132932547274`*^9},ExpressionUUID->
  "6a8b4754-2056-4e5e-ab4d-4e8865f83051"],
 ")."
}], "Text",
 CellChangeTimes->{{3.731928904786121*^9, 3.731928928620473*^9}, {
   3.732466018464877*^9, 3.7324660440023365`*^9}, {3.7324660791169224`*^9, 
   3.7324660825239625`*^9}, 3.732467725375287*^9},
 CellID->787500257,ExpressionUUID->"a2e13d9f-d5a7-41e5-9ea3-b6e184f4e7a2"],

Cell[CellGroupData[{

Cell["Drag the UVSurface component to the canvas:", "Text",
 CellChangeTimes->{{3.7318617923192053`*^9, 3.7318618175415463`*^9}, 
   3.731861907200734*^9, 3.732013407237331*^9},
 CellID->575102938,ExpressionUUID->"ce3d4218-0d1d-4b8f-b765-b029f32927ac"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJzt3QdcFMfiB3Dy/nlqiolJ1GDvisYWG3YRpUmRIk1BkSKIiggoWDGWWFEg
iI2iIGwQFAUVAZVmF7u+6EtiEkvMe0kEbFiS3f/vWFhPQNiF27313szn98Fj
b29mbubLMHty0MF1tvW0f2hpafk3wgfrqYGj/fymzrdpgk9sffyne/p4uJv4
BHh4evgNdv0/HPzkHS2tJ/hXcfvapdMkJCpJ9uF9iNq7QUIiRghvEg0O4U2i
wSG8STQ4hDeJBofwJtHgEN4kGhzCm0SDQ3iTaHAIbxINDuFNosEhvEk0OIQ3
iQaH8CbR4BDeJBocwptEg0N4k2hwCG8SDQ7hTaLBIbxJNDiEN4kGh/Am0eAQ
3iQaHMKbRINDeJNocAhvEg0O4U2iwSG8STQ4hDeJBofwJtHgEN4k0uTKhZNX
CvMvnM4sLEg7c2zP6aNJp44knaxfUAPqQW2o8+LpTNSPVpQbJbxJpMmVwoLC
4/vzDmw6tGv+3kj3bzc4JoY4JK6vX0IcUA9qOxQflH9g07nj+y6fL1BulPAm
ETuKdftCwXmF7dCDO71Twk2o1QNig3ViFneJXlSvoIbYpTqoLTnM+OCO6Xnp
G/EVhLauVqzhhDeJ2LlcmId1NS89ND12Wupmi+x4+3MHfK/nrkCu5SDL6xpF
DdfzVpw7OOdInD1qTo+ZViZ835XCPLZpwptE7GC/jT3JgVjPfZHmRxOdvz8X
9uT3My+f/fry2W8vS5H7L0t/FZ77iseihme/Pvnj7A/nwo8mOu2LNDuwwzMv
PQL7cLZpwptE7BTmp2G/nbTRIGuH1fen15UWn2WYIkaVpfhZ8dkfzqzP3mGd
vNHgYFwgrjTZpglvErFzNmfPnkj3+JV9z+7zeHQ/i2HuMcx/GPp35u//luU/
dU3Zw1EPamPuPb6ffW7/tISVffdEup3J2cM2TXiTiJ3Tx5KTQifGLOn8r6P+
fz8qZJg/mL9+YkpvMqU3VJGbzMufUCf96Px3xwJ2LOn87UbHU0eT2KYJbxKx
c+rYbmqDY/TC9tczZ7x8kMswt5hnV+nHF+jH58tSWNewD7+A2lDnXw9yr2fN
jF7UPjHE/iThTSJVTuXsTtzgGLWg7dWDzi/u72ZenGOenKYfnqRLCuiSfLok
jy5GcoUkT/EoxWMLUA/z+DTqRM1XD02OWtg2YYM9Wb1JJAt4U6Hg3fpK6rhn
t9YwxcnMn/v//uPA33+klwU3Dv7950HFRz4pP/PVw1EbU5L8/NbaK/tMoxe0
TtzgQHiTSBYF7zDHqPktLyfpPr3qwdz9ir6z/q87EX/d3fbXr7F/3d/112/f
/vWfZAHB+XgUHosa7kTQt9cz974qvTrt8m7d6PktEzc6nDpGeJNIlAre2pcS
ejw+N4656fTXdx4vbvi8+H7Bix+Wvbi1+sXPG17e/ubl7U1VElndwW9e/rxB
8Sg8FjXc8EFtzL+dnpwzvZTYI3q+dmIo4U0iXRS8wx2jgrQvxnd5dGIEc9nk
5UWzZxesnl1yfHZ5yrMrbs+ueT6/7v38+qzn/5pdFt/n//J78Z1/ef7lV3ak
7C6cgzOveSoehceihgtWLy+YMVdMHp8ceWlXl+igzxPDCG8S6fKKd1znRwXD
mAtjX5zRLz2lX3p6TOnpsWUxUOSMcelZ09KzZqVnzUvPjX9WaPWs0Frx8dx4
xRHFcVPFOezJ5Q8cg3pQG+p8XDD8UjzhTSJ1TuXupr6ZGBX0+YUdHR/m6NJn
Rz0/MexpwZCn+YOf5uuWZVBZdBUHC4aWZfjT4yOeHh+p+Ijb5QeHvHayIoNx
ELWhzke5gy/u7FTG25HwJpEsr3jHtH94dMDfp4Y9y9d9kjuoIgOVMqi2VHMy
akOdD48OvBjbgfAmkThKvDuUHBnw94khpTn9Hx/tV12+rC3VPAq1oc6HRwZc
jO1IeJNInAre2hdiOpcc0f27YHDp0T6Ps3o+zuqlivQsPdIHdT48onsxtjPh
TSJxynjj0rLFhZiuxVlD/srTfZr1xaND3R5lIDr1SzfU8zSzB+osyR5yMaYr
eFPh5NKSRLoo8dYpzhz2Mkf3yaFuD9M6PEzv+DC9U/3SEfU8OdQVdZZkDbsY
oxMdpE14k0iZCt4tL8T0KM4c+fKo7uO0jiV7W5WktilJbVu/tEE9qO3l0UEl
mSMvxnwRHdSC8CaRMkq8exVn6r/M1n0MlslNS1K0S1Ja1C/aqAe1vcwGb/2L
sb0JbxKJA96J4Y7RgS0v7viyJMvoZdagRynaxVTj4m8/LU5qWq+gBqrxo5TP
UefDLKNLO/uBd2K4PeFNIlkUqzd4B7W8uHNASbbpy8zBD3c3L4pvVLTr/aKE
D6tL46KEj4oSP34tOKI4/vqZqCG+0cPdzRR1ZpteihsYPb8FFUZ4k0iX07nJ
SRETY+a3urhzUHGWxYusEY92tyja+e6DWK0HMVqKj7HvlIW98Y8HO959sLPh
g7j3HsS9X5H3FEdwHPeWn1n+WNTzaLf2i6zhJVnml+IGxc5vmRTueJrwJpEq
Z/P27N3qHv+VTn5knzv7jR4f1n+8r8ejb7VLEpqU7PqoLB8rovj04+L4xkU7
33sQ2+BBDDAj/1R8VNxugOO4t/zMhLIHJjRBPagNdd7db1iwuQ9a2bvV7Wwu
ea8liUQpLEjPSFywO2R02vqe56IG3U8zeJxl/OKIwYvs0S8yR5VF70UWov88
c+TT9IElyZ0exDX+M0rrz+1af0a9U/ZR68HOxjiOe3EOzlScjweihiOK2n5L
G1sYPSh9fc+k9XoZifPPF6SzTRPeJGLn4ums/IORB2I8k9eP3L+217mYoXcP
WJXkOJfkTS7JRZwVyZlcnOuCTx8ec3iUMbYkpeuDHe//uU2LzYMd75Ukd8Hx
h8fscXL5mXgsashxvnvQqjBmaNq63snrRqRHe+Qf3IQW2aYJbxKxc6Uwv/B4
Wl5aWFqU++51I9NDvszdPPDirtEXE8dcTBh7MQEfx1yI1z8Xp3+JMvn5gEPJ
Maen2SYPITy2kcJ2TCPcfpplXHJs0s8H7C9SRjjzwi59xWNRw67ReVsGpYX0
VXztbHfLTQ8tPLEfLbJNE94kYudq2e8YVPz+zPSwg7Feu0P0d33VI2Zh2+gF
baPnKz5GLWi7PajN1sBWu77qkrt1FIQ/ynN5kmX6aE+34oSmj1K6Psk2fZQ3
BbZztgyP/6rT1sCW24JaRy9oF7MQaZuwrEfSev2DMZ656WHkdwyKl4KM1Liv
F4fPciepmm9muobPmhg20yx0+ogNnv3XT+u11rPX2mm91pRltUevVW49Qrw7
7VzUPXfLsHuZTk9OeD3Pdyw9Yvo8zwG3cSRvy7CdC7uGeHf82q0HzsejQucM
3rnSLHWbR0bC/IKDm88fT7tCfkOsqnPpTP5Gz8nObT6zfF+L5E0Z/76WdWOt
CU3esf9My76Zlv3n5bFrXpbPtSa21HLvoRVo/O7W2doF20fdy/Z4em7es8LA
0nPz7h3xOB6lt9W3RZDxux5faDm2rHhgWQ1Orf65apLJ6SN7rxQWkN/vrdpk
J8d5dG/HzuDU9s1WTTChlgaQ1Cn+cQvctgaYbPXvk7Si9/Fog1+PeRedDrqf
430ixgBHtgb02epvErfIjQr2Zx8S4mQ5rVtrdvAdmjdO3RJaeXYI73oE6/bU
Ti0wtjN7d7p5/AjzvISkPnlWfPfP2+e/OxmdtWNy6vpBx6P1rqdYn4gevXfd
wKwdzv86EfXHL4U4p9Kjiu78e5nZaMyCbZMG2B8S3qoK9iQY1TkDezwvvk8/
e0A//YN+dIcpuilBfrp8LHbTquDAmdIEbX13NkP05/Xgxl+/X/3z35lXstZk
brdJ39A/bV2P9JB+mdusLmWuwvG/fr+Cc7jz6Yc/00//qxj5Zw/CXe0UczG8
H+GtquAbIob0x3O5dOmfdPEP9N1c+s5RUfP0h4ygGY7azT7VUkdp1LCBl7P5
g+v7xXuCf98+8uzHA39c2nE9Y0HWZsOU1b0zNxlez5iPIzhO3z5S+SF3c/7+
4zrG/8Ev301t1xTTobyAE951DnbdGMxp3VrRT3+nH/9K/5JJ/5whai4c2qTT
qQ0rrVmzZiYmJnOlKlZWVm3alDfd5KMPDu1cLt7T/PvWoRc/7P/j/LZr6XNP
JrheTQv4/fw2HMHxNz6q+BZmYZW1AWYk7uvFhHf9Exs8D4MZPtWGfvIfGt8x
f0oTNaU3Utq3bg5dnTt3Pnr06EN1lO+//15fX59dxn8qiBLvydK3Up/f/PbR
ldiii9vxEbdxpKaH/H4Js5Dy9QLFjMxyJ7zrHwwjBpNa4ks/+Y35zznmxz2i
JsjLCq569Ojx22+/FRcX//nnn/fu3ftBqnLnzp0//vijuKzY29ujJ3q6X4j4
fH9IoX9I4T5V3Fb6tJr85xxmgQoOILxVzHvxbAY7k/sn6ZuJoqbJR+8DVV5e
3oMHD3788cfjx4/nSVvy8/Nv3LiB1vGxadOm6MytY2FiP2u+uX8Ss0AF+xPe
qubtwzy+x/x6nLkRJ14upq4Ap1atWmEJxeqNzUm2msrPP/+MPhgaGqI/sas8
RH3WAoLxf3yPCvYjvFXMe9FM+uFtXL/T16PES+QSJ3CysbH573//e/PmzYPq
K5cvX0YfFixYgP4Ee1uI+qwFBOP/8Da1ZA7hrWreM+iSn+nb2czVzeIleLop
OPn6+mLpLiws3Ke+gtbRh4CAAAXv6aaiPmv+wfhjFqjFvoS3inkv9KaLbzG/
HGYuh4mXYC9jcJo9e/b9+/dPnz6dpL6C1tEHf39/BW8vY1GftYD8chizgOsg
wlvVvKczxT/Qt9Lp8+vES/A0A3Dy8fG5d+8eLirj1VfQOvrg5+en4D3NQNRn
LSC30jELuA4ivFXMe4EnU/Rv+sd99LmV4iXYQ/Fq86xZs27fvp2TkxNd15KS
kpKbm3uyrOzfv78ONaB19GHOnDkK3h76oj5rAflxH2aBWjSL8FY172lM0Q3F
q7JnvxIvwR564DRjxoyffvrpyJEjm4UXYC4uLlb+U74FBQU4DvAFZSUxMZFP
PWgdfcA2qYy3nqjPWkAw/kU3cJlPeKuY9zxn5rezzKVQJsNWvARP6gFObm5u
165di4uL8xVYoqKiqv6lasDGXStXrmQ/PXXqFJ+q0Dr64O3treA9qYeoz1pA
MP6/naXme8ifN9sl+WflVAcFbz9b5s5R5sQ8huojXoJtPgcnJyenM2fOrFu3
zlxIsbW1rfYPsW/ZsoU9gTvCpza0jj64u7sreNt8LuqzFhCM/52j1DzFD3Bi
Xrg5SojbjqidytsYjjf9SzZdEMAk9hYvHO/Tp0+vXbtWEO+QkBAOcFZWFlRX
4o19OHtk8uTJtdaG1tGHV7zFfNb8g/HHLFBznTEjPuP0t2zaKFveav/2IWxz
4jeBuZ3FHJeIN7YQQnmDNKsXztkjb+KNC0Y+vNEHbJNkxVsx/rezsFHEjOj8
U/Fjja1atvD2cj+YtvstEiWrvOL9S6Y0vCdNmnTixAmhvDm92KWohDf64Orq
Kjvev2RSc5043mxp06Z1eOgatVN5G1PB20Zi3qtXrzYTUpT3HuwR9tPNmzcr
f4qCK8daa0PrPHkXruwS4dIq3rtNzU9tv397nIaTxeDNFl8fb7VreetSznuO
jeK/LAv8JeA9ceLE48ePC+UNxqxeOJ8wYUIl3so7c/beWnmjD3x4Ay2r69fI
7m86B3ex5+Dkeg0Rxv+XwyxvvTbaVd9nFBsVqXYwb1cqeFvTPx2i8+cwCb3E
S7B1c5Z3QUGBUN6enp4c4Hv37sXFxXHauYUd5fr163xqQ+vow9SpUxW8rZvX
0OcIl5YsrQDTpm86B3dV8G5Zn/HB+GMWqIBJihlZEVxaWhoUFKTMu2nTz04V
ZKvdzFuUct6+VvRPBxlJeDs6Oubn569atUoQbxTu6rKGMn/+fD5VoXX0gT9v
N71P8PFR9BdVT8BB3DW82wf1580oeB+kAiayvNlnhEvgRo0accItLUzVbuYt
yqvV+9YBOs9XGt55eXl14I1dBxbnGmzv3buXZ1VoHX1wcXHhybtwRWd8jJ/e
5k0n7Pdvp4LVO88Xs1CJNwp6y/Fu2LABWcAF88bqfStdmtXbwcEhNzd35cqV
psKLjY0NtwmvVNavX8+/HrSOPvDnjRtdtBsiVU/AQasBH7H+VbB630qnAhwr
8UbR1n61FQ/bSF5FqQPvNGlWb/DOycn5+uuv68CbQ45NKfcDJLNnzxZaA1pH
H6ZMmcKfN7s+5yzqqHwvd1AlvMtW77RqeVtaWpKXUOrB25L5cT+TN5vZ1VO8
cLyPHTtWt9VbVQWtow+veL+5zxFTynjv6vkoSvEDM1iole8d3u39LtoNcKNw
eScF7ykt6zVEGP8f91P+DlV5L126lOPt7eUutgqNSTnv2ePpH1KZPB8JeNvb
2x89enTFihWCQDo7O3PLNW5XunfZsmWCVnK0jj5MnjyZP2/u9s31XdhPWdL7
/dqpjrcPZoHyt6/Km91HEd714U3nzpKG95EjR4Ty5rbc9+7dq3oveNdwb7W8
0QehvH+N0Cl/hbDs0/KXU6J6qIo3xv9NvHV0dDje61YvVzubtyUVvC3o7/cy
kvC2s7PLzs4GyHFCCvfidmRkZNV7sRvnJOB2rbWhdfQB3wUE8UbYl7hBmqW+
0u5zRmklr+/qDd7f76X8KvPOyMhQfvU781Cq2Co0I+mpSYE2phW899A5MyXj
vXz5chXyRuEw+Pj41FobWq8bb5Zx/PTWgI0bQK5C3hh/zALlZ6fMu6ioSPll
E51uXdXORv4JnOvboYPiql/nn1osb+b7FMlW76ysLNWu3kJ5o3X0oQ68EVxd
4nKS/b+eSuzrv3pjFpR5Y91Wtt2wYYOUpDi145FzsGL36d3z1Wrwincyw3v1
xvUUprJS2IusWnnb2toePnz4q6++EsR7z5493O666r2BgYGCeKN19MHJyakO
vPE02aEDaRXzxvh/n0z52WJGXEYMRtF6vZCXBGvOimWLsQIoj1gFb3NBvLGC
sbMpGe9169ZxgEFd+S4ohXnuXj611Yc3gtV7eLf3lY+onHfVnxgcPmyw2v3I
OVi3K9lWDFoLxW+TpnzMmX8nMce8mfgv+ITlzfNkLsFWzVje+J4rlDcoKr+S
AM87d+7ERoVb1dmSmZnJkzf6MGnSJAVvq2Y19LlwWceIKS0qHcxZ0B7HlY/8
+k03nFbpoOBg/P+dRPlNqMS7QYMGblOd1e5H5lHek6C4uLjgsgV7vDLeZsxN
iXhPmDChDrxRgJmprfDZmQjiLWkw/jeTqDmv8cYlUnjoGvJunZqDa0ll25hc
1kMFb1PmJsUcmy4N74MHDwYHB5sILykpKTXYBlqe9aB19GHixIky4z0ds0DN
scGMOA/phynDN9xrsnynvNzSqmULzraXlxdH4hXvG4nS8Laxsakzb5RNmzZV
hY29Cq4u+VciX943ElneMv9FELJKSlKc8tJdWlpaHe8EyXinp6fXmTdbZs2a
tami4LbQh6N19MHR0VF+vBOoOdaEt6CsW72cs923b1/lda+c96xxzI1dzFEv
QbxxMaUcXF7x571kyZL68K5nQety5I3xv7GL8BaaJQvnVbszeY33dxLxtra2
TktLUztv9EGOvL/bRfkS3sKyYtlijreenl41vGea0P+KY456CuItdPo43vv3
71+8eHHdZE6aNAmXkJveXHBCrZWgdfTBwcFBZrw9MQuUrxXhLSgJcVEc70aN
GlXH25i+voPO9mDievCJVf/GCt78TubC8rayskpNTV20aJFQ2Pi6qPmVE7bw
2YqjdfSB/etRCt4Cn4hIwfhjFqjZloS3oJw/k9+4cWNOuPL7uZR5M0ek4G1p
abl3714AMxZYTpw4UattlnetVaF19EFuvDH+hHfdYmdrrbyA379/vzLva7F0
trtkvBcuXCjINtDysc2TN1qXIW+MP2aBmj2e8Baa3CMHmzb9jBPepEmT2NjY
13nHMEck4r1nzx6hvHfs2MEBxu27d+/iBj5is83tWA4fPoxPJ06cyIc3+mBn
Zycr3hh/zALhXbeEbVyj9Xrp27ev05ABZbyNmGvRjMDVO2KydqXw4T1+/Pjk
5OQFCxYI4s3tTJYuXYpPWdI4yN7r5ubG3osbfGpD6+iDra2tvHhj/K9FU7Mt
CO+6RXmLwpbynxicYUhf3U5nujI7u/PJft/WEc7aVVPzo4Itm3K858+fXzfe
uDLFp9z/XVY6Aes5n9rQ+ivelk15Pmuxg/HHLFA+5oR3nbNi2WLly8xXvK9s
Y7L48q5bWN4WFha7d+8GMCMhhePNfjp37lz2U0dHR/bItWvX2COurq611obW
0Qe58cb4YxYI73oG+/CBA/q9xtvbgL6ylc6cKg3vpKSkoKAgQbwjIiJYvTNn
zsSnMMx+iuUad2HXze3M2RNqLmgdfZgwYYKseGP8MQuUjxnhXf9kHkpdsnCe
85B+5bwvb2GyJOL97bffCuXNLde4ImaPvOmVE249r5k3+iA33hh/zAI1i/BW
WcrfKT9DwZvOdJGAt7m5OUVRgYGBgnhbWlpyyzV7hFvPlQv2MHxqQ+vog42N
jax4Y/wJb1F4e49lLkcy4L1DR7xwvBMTE+fNmyeIN0pwcHBEWeF217g8VLYN
+Xw23ihoHX14xVvMZy0gGP/LkdQsU8Jb9bwvRTKHp0jA28zMLCEhAcAMVVHg
mTUfEBDA/1FoHX2wtraWF2+M/yXCWwzeY5hLmyTjvWvXLuyla+DH/pcTCtZn
9sjx48fZIzNmzKjX10NZQevogyx5b6JmjSO8ReAdwRyeLBPeHGYsy/9LvCdj
Fghv1fOerk9fCKcznCXgbWpqGh8fX/NeQmzeaB19sLKykhVvjD9mgZppQnir
mvdo5kIYk+HExHYTL8HjP2N579y509/fvwZ+3DudcbXo4OCgct5oHX1gf2k2
eiXqsxYQjP+FMGqmMeEtAu9Q5pAUvMeNG7djxw4AM3hzWb169Zte1q61eHt7
11AzW9A6+iA73hj/C6GEtyi8z2+UjDeuHP38/GrgZ29vLypvtI4+jB8/Xna8
z2+kZhgR3irm7QXeG5hDk2TCG2XJkiX/e7wnYRYIbxF46zHnQ6ThbWJiEhMT
M2fOnFoR4gLw6tWrYvBG6+iDLHmHUDMMCW8V8/YcRZ9bxxx0ZGK6iheWt7Gx
cVRUlK+vb60IlQt3aclHb60FraMPFhYW5bzFfNYCctARs0B5GxDequd9di19
wEEa3tu3bwewsUIKx3v69OmCHlhtQevog7m5uax4Y/wxC4S3CLxH0mfXMBLy
nj17dv2V1rmgdRnyZhS811DeYwlvlfNmFLztJeBtZGS0bds2obwXL14cXlHA
sv680Qf58bZnCG+xeK+WjPeWLVuE8uY2J3fv3q2nbZY3+mBmZiY/3qsJb9Xz
njacPr2SSbdjoruIl2CLT8HJ0NBw8+bNPj4+gkAeOnSI5Q3n9eeN1tEHU1NT
BW+LT0V91gKSbodZoKbrE96q531qJZ1mKw3vyMjIWbNmjRFS/Pz8uJf+sOoK
emzVgtbRB7nxxvhjFigvBe9AG1Pur0QR3qrgvYJJl4K3gYHBpk2bZs6cKdRk
dHQ0yzspKamevNE6+jBu3DhZ8cb4YxZY3uxfZ2jVsoW3l/vBtN2Ed714ewyj
Ty2n0yZIwzsiImLGjBmCQLKXlgUFBdwOHNrDqyu2tra11obW0Qc+vAuXtI2Y
1KxqxBgfjD9mgfIaXelv67Rp0zo8dI3aqbyNecX75DJGEt7Y+n7zzTdCV28O
dq1l+vTptdaG1tEHExOTWnlDMs4JMPpEAt4Yf8xCVd5sIX/1rz68mZNfMfut
majO4oXjjTXW29tbX0jhz9vLy6vW2tA6+vCK95v7zPIuXNxG1JEpD8b/5FeU
lx5mRK+NdmXfWlqxUZFqB/N2pYL3UObkUml4Y/EMCwtTO2/0wdjYWH68l7K8
qRXBpaWlQUFByrybNv3sVEG22s28RXnF+0SwlLyxhRDEe9GiRWH8CvbetdaG
1mXK+0Qw5TlK+W/Knzp1qlGjRpxwSwtTtZt5i1LO230IfXwxvc9KGt6hoaFC
eau2oHX0QW68Mf6YBcpzpDJvlFWrVnG8GzZsQBZw4bwH0wWLGEl4Q9eGDRvU
zht9MDIykhVvjD9mgZpWmTeKtvarrXjYRvIqimDeTMFCJnU8s72TeAk2/wSz
M3r06JCQEE9Pz9HqK2gdfTA0NFTwNv+khj5HTGxa9spJE9zgUriotShDhPEv
WEhNG1GVN/u+OfISSl156zIFCyTjvX79erXzRh9kyXtBtbyXLl3K8fb2chdb
hcbkFe/8+UyqhWS8p02bJghkVFRUAb/i7Oxca21oXRBvsTxX5m2BWaCmDa/K
28XFhfCuO2838A6SjPe6deuE8ub/wiCf7wtoHX0wMDCQH++gannr6OhwvNet
Xq52Nm9LKngPYvKCmL3mEvDW09Nbu3at2nmjD7LjjfHPC6I8KvPOyMhQfvU7
81Cq2tm8LSnn7TqQzplLp5gy2zqKF5b3qFGjVq9e7e7uriek5Ofn8+QNurXW
htbRh7Fjx5bzfnOfIxzLeC9sJerIsMH4YxYo96HKvIuKipRfNtHp1lXtZt6i
KPEOYPaYScN71apVQnk7OTlNe0NZuXIlKyE0NBSfmpiY8OGNPowZM0ZWvDH+
mAVl3li3lW03bNiA+ylZEiG8B9A5/tKs3iNHjvz666/d3NwE8a4VPyvc19eX
z/loHX3gzzvA8GPcUM6v69qpfHzKVm9/yn0IZsRlxGAUrdcLeUmwzryZHH9m
j0S8sd66urqqkDcKtznhczJaRx/09fVr5Y11uxJs8Xgrxr+Cd9WfGBw+bLDa
tbx1ecX7mB+TMk4a3itWrFAt7wULFgjae6N19IEPb0mD8T/mV5V3gwYN3KY6
q53K25hy3lP7M0d9mWQTZmsH8RJs1gSTNWLEiOXLl0+dOnWUkLJ9+/b8N5Q7
d+4oX1p6eHjUWhtaRx9Gjx6t4G3WRNRnLSAY/6O+lNtgZd4dOrQLD11D3q1T
P9796CM+TLKxBLyHDx++bNkyobz5v3JibGzMhzf6ID/expgFyk0XM+I8pF/g
XN/01KRr5L2W9eftAt6z6N1G0vBeunSpi4uLGLxDQ0P51IbW0QfsUmTFG+OP
WaDcBpF3yqua95d09iwmWQrew4YNA60pU6aolje2KNiB86wNrcuQN8Yfs0C5
Et5i8J5J7zaUhndwcLBQ3k5OTh5vLnw2JJV4ow+4ISveGH/MAuGtet5T+tJZ
3kySIbOlvXjheC9evHjy5Mkj1VfQOvqAG+W8xXzWApJkiFmgXAcS3irm7dKX
yZrOJBlIwHvo0KGE9xt4G2AWKNcBhLeKeU+RlPeiRYucnZ3rSdTIyGj+/Pkb
ywr2J4Iei9bRB8Jb41PBuw992JNJGisB7yFDhuAaEHvpWvVurCgrVqyodK+P
j0+lS8srV67gITx5o3X0YcSIETLjPRazQE3tT3irmndv+vA0+tsxEvAePHgw
Vt1JkyaNqLEEBQVxdDds2KB818SJE6t98eTy5cs118kVtI4+DB8+XFa8Mf6Y
BcJb9bwn96Iz3BlKn9ncTrwEm37M8gbdWnmDNOfW0tJS+S4wftPLg8uXL+fJ
G30o5236sajPWkAofcwC5dKP8FY5b0bBe7R8eOfl5VW7Jiuv6igHDhzYtm2b
0AVcrrxHM4S3SLwPuUnGOzAwEBsMnrxxo9rjKIDNHqQoijvIhzdaRx+GDRsm
O96H3CiXLwlvEXi7Mol6EvDW1dWdN29e3Xhjl6K8dBsaGrLHla803d3d+fBG
H2THG+N/yJXwFoF3T+bQVGl4Dxo0KCAgwMHBYXiNRXlzwh1MTEzkGG/dupU7
7ubmxh3H7ZprRkHr6MPQoUPlx3sq5dKX8FYxb+cvmANTmIRRTGRb8cLx9vf3
r5W38qXl+PHjccTR0VF56WYP1pk3+jBkyJBy3mI+awHB+B+YQk3pQ3irmLdT
Dzrdmd41UgLeAwcO9PPzq5X3rFmzlC8YlbWzO5Y3ncyTN/ogN94Yf8wCNbk3
4a1i3s49mHRnJkE63vb29rUirPQ+BeVSyTA2KtxdBgYGtdaM1mXIWzH+hLcY
vJ3A24nZNUIa3r6+vnZ2drUiVF6TlYvyrpst3F34iqi1WhS0jj6w79WVEW+M
f7oT4a2qpKcmBdqYlvHuzqRNkob3gAEDfHx8bG1th/EogYGBVW1XOmfZsmXc
vbj25FMtWkcfdHV1Zcc7bRI1uRfhXc8EzvXt0KGd4tfC/FOrnPd+RyZ+GLOp
jXgJHvcRWuzfvz+W5QkTJvBxiDJ27FggDwkJAWMLC4uqJ+B4SEWp9oSqBa2j
D7jIVfAe95Goz1pAMP77HSnnnoR3nYMVu0/vnq9+6xHLe5IOvc+ejhsqH96u
rq6AzfNLQGiRJ2+MP2aBcv6C8K5bVixb3LBhA+XfnlHBuxudasfEC+AdYffJ
fs+mdeDdr1+/GTNm1Mqbfd07PT0dS7fKnaN19AFXAbLijfHHLFBOhHddgnW7
km3FG3tbNOV403FD+M8FHmvV57268fb29raxseHDmytwPnPmTFXxRuvog9x4
Y/wJ7zpHeU+C4uLiUlRURK0IVvCeCN62jIx5K1881t+5PHkzCt62lFMPwlto
cC2pbDsjI4PVUsG7K713Ar1zsDS8p0+fbm1tXTfeys6xP68bb7SOPgwYMEBW
vDH+mAXCuw5p1bIFZ9vLy4tDwvFm9towcVLw/vLLL9EBKyuroTUWc3PzefPm
YU9SM/Lbt29v2bLF3t6+5toqFbSOPsiNt2L899pQTt0Jb0FJSYpTXrpLS0ur
8O5C77FiJFm9+/bt6+npaWlpyV8jLgMTEhIguVbn+KLgUyFaRx/69+8vL95Y
vfdYUZN05M+b7ZJMsmC+P2cbupRVlPN27EynWNI7BjERrXmmnDfv8xGOt4eH
x/jx4wWtt2zBKh0SElLDu3VQpk6dWms9aB19wDapnLeQZyFeMP6YBZb3yqkO
3PQlxG1H1K5Itpk9y6vanclrvJPHM5Lw7tOnj7u7u6DVu2qpYevChzdaRx/k
xhvjj1nAZb78eav924dyVixbzPHWU/pV2K/ztqBjB0rGu26rd7XOsW+pw+ot
Q94Yf8wCy1vmmxNZJSEuiuPdqFGj6nh3YpLNmR0S8XZzc6snbxjGTrva3ThP
3ugDLnJlxVsx/snmuMwnvAXl/Jn8xo0bc8I3b95cHW8zJnaANLxdXV0tLCyE
kh4zZgx7jVnDxpsnb7SOPsiON8Y/2YzwrkPsbK2VF/D79++/xtuhI7PbVBre
vXv3hkBsKobwK2ZmZkuXLk1LS6tZNQrk49qTT51oHX3ARa7seO82pSZ2wYwE
2phyfyWK8K41uUcONm36GSe8SZMmsbGxr/Mex8T2l4B3r169pkyZArQ1CwRU
bD8uXbrERzVWdZ5fLNyXDPqA7yMy490fs8DyZv86Q6uWLby93A+m7Sa8a03Y
xjVarxcsX05DBpTzTjKRjPfkyZNr5Z2bm6ty1cq80Qc+vAvnNY+wa/LryhYS
8U4ywWV+pb+t06ZN6/DQNWr3I/8ob1HYUv4Tg/btmW+NmJgvmW9a8Qwe26XZ
uxG2TZQDDDU8JNhEsf/v2bOns7NznXljl1Jn1cq80QdskxS8TRrX0Gc8KZxT
8/NSWTD+3xrhOqjav4xG/uofn6xYtlj5MvMVb8qQie7Lfy4qwRbK29TUVBBv
qJ43b56+vn49YbMFrcuRN8afMqQcFLz12mhX9q2lFRsVqXY/8g/24QMH9KvC
20AQ7zqE5f3FF19MnDjRxMRkcI2F5Q3Vc+fOHT16dM0nCy1oHX3ANkl+vA2w
UWT/KnFpaWlQUJAyb1w9nSrIVruftyKZh1KXLJznPKRfGe92TOJYaXj36NHD
0dGxVt4uLi4qV63MG33A9xHZ8U4cy/Fmv22dOnWqUaNGnHBLC1O1y3mLUv5O
eQXvMVLyNjY2Fokun4LW5cp7DOXQQZk3yqpVqzjeDRs2IAu4YN52bZkEfWZ7
bya8pXjheDs4ONTKG3uS9bUV9g8I1o03+vCK95v7HGGreHd/4dxmoo5MeTD+
CfqUfWXeKNrar7biYRvJqygCedu2oeP16G29JODdvXt3Ozu7WnnX+sKgctm1
a5egnQxaRx9wFSAr3hh/zAJl174qb0tLS/ISSv14j2K2S8FbR0fH1tbW0NBQ
t8aSk5PDnzdbUG3NdXIFreNkfB+RFW+MP2aBsmtXlTe+T3G8vb3cxVahMang
3ZqOH0lv6ykN7wkTJojB+/bt23p6ejx5ow9y443xxyxUyxt7MMK7XrzjRjDb
JeJtY2NjYGBQs8CAgIB1tRXsSSr90CAO8uGN1tEHbJNkxRvjj1nAdVBV3hg0
jve61cvVzuZtSTnvCa2YncOYrT2YsBbiJdj4Q8xOt27drK2ta+XNvwC58gLO
kzf6UM7b+MMa+hwxoYx3QFNRR6Y8GP+dw7BRrMQ7IyND+dXvzEOpamfztoTj
Te8YQm/pLg1vKyursWPHqoo3ivJPXvHZn6B19IFdEuXDG+OPWcB3UmXeRUVF
yi+b6HTrqnYzb1EqeLekdwxmtkrBu2vXruPHj9fX1x+kurJ27VqO9+TJk2s9
H62jD/hCkxVvjD9mQZk31m1l2w0bNuB+SpZEAG+blnTsYHqLjgS8u3TpYmFh
MWbMGDXyRuvoA3/eAfof4IZyxBgfjD9mgZqg4O0yQvECptbrhbwkWFfeLehY
XUZC3mpfvXnyxrpdCbZ4vBkFb11sFKv9icHhwwarXctblwre2nT0QDqyKxOq
LV443ubm5qrlrfz6ybhx4/jwRh+wTSrnLeaz5h+MP2YB30kr8W7QoIHbVGe1
U3kbw/FmogcwmyXibWZmNnr0aFXZVn7lBIXPQ9A6+iA33orxjx5QiXeHDu3C
Q9eQd+vUi7c1ePeXhnenTp1MTExGjRo1sMbi7++/trYSHx9f6XXvyMjImqtl
C1pHHzp37iw/3v2xUcSMOA/pFzjXNz016Rp5r6UKeH/ORPeTFe86/K8lSq3V
yp53P5Y3eae8inlHfclEdpGGt7GxsRi8bWxs+NhmeaMPsuON8Y/6EhtFwlvF
vK2a09v60BGdmI2fi5dgow/AqWPHjkZGRqrljV0KVmOetlne6AO+0BS8jT4Q
9VnzD8Yfs4ClhvBWNe9mzLbezCaJeBsaGo4cObJmgXz23ijOzs48NyTKBa2j
D3LjrRj/bb0Jb3F492IiOkrAu0OHDmPHjh0+fPgA9RW0jj7gC01evDH+23pR
1s0Jb1Xzbsps7SkN7/bt248ZM0btvNEHfKHJjvfWntgoEt4q5m0J3l8wER2k
4a2vrz9s2DA18kbr6IP8eHfALOA7KeGtat6fMZu7M9+0ZzY0Fy/y5S3msxYQ
jP/m7lhqCG8V8x7/KR3ZjQlvJwHvtm3b4mJwyJAh/dVX0Dr60K5dO3nxDm+H
WcBSQ3irnvemrnRYW1Gnb5Wp4nXvli1bjhw5cujQoWrkPXjwYPRBbqs3xh+z
QI0nvMXg3YUJF5d3jrfid4Z88MEHI0aMwMWdGnlj9UYf2B+l3mj5odphlycc
vLtgLghvVfP+BANLh7URdfpK1zYDp3/84x9YPMFbV1dXLbYHDhw4vKy89957
6M9F/0/VD7ssGH/CWxTeFk2YiE5MWGsmpJmosezZEKKaNWvG/vlUrKIqfEsa
n4KvLLZpdmei3fgfpWuaiv2s+QbjH9EJSw3hrapE+ntjMKMNP6LDO9ChovP+
aeGnjd59h92BA5tKft1rHQps45sIupHh8bH6VXMJbYVZSLEmvFWW9NhIDOac
Tv+kw9srLi3Fn8TNNh9WvHOwYfPmzVtLWNq2bYsvK+43UvqOfE/9pJUT1hqz
sGX0h5iRbfN9Ce/659KZfAym3UfvPFrThg5rR29oIcE8nvJpotP8/yq/20rC
gj2JvNZtZIO2YvzD2s1s9y5mJDv51VuGCe/6ZIHxKMV3w+EfKF6YwgKOb5Eb
W0qQYzM+22D5cbBRY4mDdp+uayHNcxSQssHfb9tE8V6GNp9h2SG8VZKCjFTb
Jg0wqvEmjZ+va4UdOIlakuHYxO7jdzARqVtClSeI8K5nYoPnYVSRaa3+b4ve
B5R5YxLJssfqo3jjD2e2fZedgrVTHSrNDuFd/2TsivLo3o4dYRK1BHuSSus2
4a3apMdG4po9fJY7icTByCvvtwlvkv+REN4kGhzCm0SDQ3iTaHAIbxINDuFN
osEhvEk0OIQ3iQaH8CbR4BDeJBocwptEg0N4k2hwCG8SDQ7hTaLBIbxJNDiE
N4kGh/Am0eAQ3iQaHMKbRINDeJNocAhvEg0O4U2iwSG8STQ4hDeJBofwJtHg
EN4kGhzCm0SDQ3iTaHAIbxINDuFNosEhvEk0OIQ3iQaH8CbR4BDeJBocwptE
g0N4k2hwCG8SDQ7hTaLBIbxJNDiEN4kGh/Am0eAQ3iQaHMKbRINDeJNocAhv
Eg0O4U2iwZEh7/8HgBT9BA==
    "], {{0, 273}, {245, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSize->{123., Automatic},
  ImageSizeRaw->{245, 273},
  PlotRange->{{0, 245}, {0, 273}}]], "Input",
 CellChangeTimes->{3.737203363705861*^9},
 CellID->523665204,ExpressionUUID->"771326e2-3503-459d-bb2d-bfa2f9545724"]
}, Open  ]],

Cell[CellGroupData[{

Cell["\<\
Connect a panel to the \[OpenCurlyDoubleQuote]expr\[CloseCurlyDoubleQuote] \
input of the component and enter an expression that evaluates to an array of \
{x, y, z} coordinates into the panel, for example:\
\>", "Text",
 CellChangeTimes->{{3.6224129533151073`*^9, 3.6224129887576027`*^9}, {
  3.6224138325534983`*^9, 3.622413858214512*^9}, {3.7318619697687283`*^9, 
  3.731861974022107*^9}, {3.7320134955522027`*^9, 3.73201351858743*^9}, {
  3.7324678983538203`*^9, 3.7324679005109887`*^9}},
 CellID->900131666,ExpressionUUID->"3b2da292-1d7e-4914-b43c-2504b84a2ad8"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztnQl0VFW6tvn7/y/Q6y5Xu656r2irzbWlHVqcGKLMUxjCkABhHpMgIZEQ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    "], {{0, 289}, {587, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSize->{294., Automatic},
  ImageSizeRaw->{587, 289},
  PlotRange->{{0, 587}, {0, 289}}]], "Input",
 CellChangeTimes->{3.7372034670004463`*^9},
 CellID->309466097,ExpressionUUID->"0859a7dd-1b0a-41e3-b486-01774391322f"]
}, Open  ]],

Cell["\<\
You should see the surface described by the point array in Rhino. Replace the \
expression in the input panel with one of the following to make a different \
surface.\
\>", "Text",
 CellChangeTimes->{{3.732013624098295*^9, 3.7320136490662327`*^9}, 
   3.7320138268575516`*^9, {3.7324677624991713`*^9, 3.7324677636858664`*^9}},
 CellID->823051618,ExpressionUUID->"23887f3f-6371-4319-a6d3-353d1bec147d"],

Cell[CellGroupData[{

Cell[TextData[StyleBox["Hyperbolic surface",
 FontWeight->"Bold"]], "Text",
 CellChangeTimes->{{3.622650448297984*^9, 3.6226504529465904`*^9}, {
   3.629222730901648*^9, 3.629222737609605*^9}, {3.629240907408531*^9, 
   3.629240910169731*^9}, 3.732011969280203*^9},
 CellID->1086373399,ExpressionUUID->"191edfef-4efe-453c-9390-852d0c629b1b"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Table", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"x", ",", "y", ",", 
     RowBox[{"x", " ", "y"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", 
     RowBox[{"-", "1"}], ",", "1", ",", ".1"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"y", ",", 
     RowBox[{"-", "1"}], ",", "1", ",", ".1"}], "}"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.6224155061785536`*^9, 3.6224155061785536`*^9}, 
   3.6292227276724253`*^9},
 CellID->771750199,ExpressionUUID->"ff4a5eb7-08f9-47f4-bc43-34f75ed339d9"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztndlvXMeVxoWZPCRAgAQB4ocYCDB5yZMfBnlwEAQDzMsAAz8lM07isSiL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    "], {{0, 143}, {179, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSizeRaw->{179, 143},
  PlotRange->{{0, 179}, {0, 143}}]], "Output",
 CellChangeTimes->{3.732013745506337*^9},
 CellID->4366713,ExpressionUUID->"d4cb2045-e7ac-4eb0-becb-56dd6afc9e69"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[StyleBox["Wave surface",
 FontWeight->"Bold"]], "Text",
 CellChangeTimes->{{3.622650448297984*^9, 3.6226504529465904`*^9}, {
   3.629222730901648*^9, 3.629222737609605*^9}, {3.629240907408531*^9, 
   3.629240910169731*^9}, 3.732011969280203*^9, {3.732012020866336*^9, 
   3.7320120244028177`*^9}},
 CellID->376901393,ExpressionUUID->"258930ab-9e68-4dfe-9aea-08caa73cc9de"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"Table", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"x", ",", "y", ",", 
     RowBox[{"With", "[", 
      RowBox[{
       RowBox[{"{", 
        RowBox[{"r", "=", 
         RowBox[{"Norm", "[", 
          RowBox[{"{", 
           RowBox[{"x", ",", "y"}], "}"}], "]"}]}], "}"}], ",", 
       RowBox[{
        RowBox[{"Cos", "[", 
         RowBox[{"2", " ", "Pi", " ", "r"}], "]"}], "/", 
        RowBox[{"(", 
         RowBox[{"1", "+", "r"}], ")"}]}]}], "]"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"x", ",", 
     RowBox[{"-", "2"}], ",", "2", ",", ".1"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"y", ",", 
     RowBox[{"-", "2"}], ",", "2", ",", ".1"}], "}"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.732012205389943*^9, 3.7320122210375123`*^9}, 
   3.732012293081462*^9},
 CellID->1652437148,ExpressionUUID->"7935ddf0-5f4e-45e4-a5b9-479e4b160316"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztnedDVEnWxmd3Z2d3ZszZMSvmnBOKOeecE5gRUASzYADJOeecVYwIgjnn
GUdXJzoz+/4d533O7Soo73SToRtnPzy23TTNvdW3fvc5p6pOddviuGTb3z/7
7DPnf+OfJZsPTN63b/Ohpc3wZLmD887tDlvtZjvs37p9674xW/6BF/dCLf/2
2Wef4zE+NYcqq9DopI9Und+pyu/WhszxN2ty/uY+3tpuX1Pnbwnfh7m+++r2
H3N/15ba9nV1jVnC9WrO829I10R9tYGltm1FrLG04zWmuRFzS1XR+VlSG1fm
veZu26qeX1WvMXMfb30dw1/tfq4/Xku7BlSp/FBlacdZl9eXpRx7Q2gDS27b
T+F+rj+X2jz/ujpWY/wwd/vV9NqpSvta8jHX9d/81O/lxo65IfClro+pNtvg
U+OHpbSrua+RumoHSz3m2m5nc567pbRzZa+B6jDEUq4nS7qPW/Ix18f1ZInn
05Du5fV1zLWtinIgtdWmDfH6qIvrylKPuS7a2tznbiltXZV2sJRjrqxM5VHr
8nqoi88wdzvWxrVkqedS18dXV21hyW1an+1Q16rtPEhtnG9F7dhQ2ra8c2oo
15SltHVV28JSjru229sSrglVDS2P2hDv4ZW5LuqiTSz9uOvz+jD3cdV3e9dn
/2hIDKmte7ilH3dd/v2qtIU5jvuo9cQ6bW9LvvfU97HURls0FH7U1Xdd19eS
pV2jdX091abcwZJj1eBJbRy3OdrC3O1d3bawdIaY+1quyXVkqddETY69vvuV
PRhyCnKvJEvqs81rmzMN8VqpzHx2c56TJRxDTa4jSz/2ypxPbbZHTY7LDQzx
EDzZb4InltjmlW0PSzz2ilSVsdy6vj4q+jvmbquaHntDYUt9HVtN2sMb/PCC
PKETCkssuV3rsj3MqbqKYWqDMw2lDcs794Z2DVnStVvRNeQKdgRAfhAz5dTo
cRZz7HXR7pbocc2dA/kU/V1dHmtdXz8NqZ3VY3YDO/zHjCff0ePJCzqN5661
MKZjjuumrq6RuvpOzc2QqrZJZdrKEo7TXMdRkzYx97HXxnl7gyPhYEcIFAT5
QEfBFEu7Vszd9rXFmYbAj7pop0/hGqiLa8fSj38feOAE2YvHQ9Bx6Ag8hwvk
CDnj+cHWbcivdVsKbNOW/Nu0oTOQG+SC1w/j54fF7x6EDgjx7x9Q4iBz9Wdz
t3FlrxX+eXXyqJammrZ5bfShhtL/qnL8dcEWF9FnDwlxX+fXjkAnxXgty+2z
z7SfHxZ8OClypl5K/lSO73L+wwO+4/RYa/KE/K1tKHCCDQVA/hMmkWfbthQO
RUMxbQz/D2zXnjyhA+3aUajNZAphTZxMoRMnUQh+JwSPwXgtyGYKBeH/AZAv
/038nZNCJ/C3tL85bgJ54NHUOUfgXEzJWPub+1qoqsobyzX3sVX1+q/rzzfV
lxry91+T4zfVLvsFF1zFvf2gYMQx0ee5758WjyfFWMopwQUfRae5n/XqQ554
5Of+Im8aKBQkxPkPP/RhXygQHAiCwtDnw/EYYWNQFFgQAl4ktG9Pyd98Qykd
OlJ8x84U2bkL+XftRie6daeEBYsofj5rISXMnU8JM2dTwtQZlDBtBsVPn0Xx
c+ZTLF6PmjGLIqZMpwj+O/jsyMlTKXraTIqBYvHe8MnTKPyLLyjs73+nFBx7
NBQoFGy7nXwhD9sddAo6DR1dv4WO42d6GWONpam+1+TWdR8wd/+zxLapyvFX
5/f3C1ZIf3Fc+ghmBmKC45A7dAI6CfF4yRn87IziKSQzfAUn9PJFH4oDS2L+
8Q+Dx4CCoRD2GswNaH+r1nQK/sK3bTtNfuBFIBQEBYMbIVAY5PvllxTbqBGl
NmlCac2ba0pp0YJioZAWLelMq1YUN2AgxQwcRJGDBlP4wIEU0bsPZS5eSplL
llP2ytWUvW4jZa1aQ8mr11LSshWUBOakzZpLmXPmUfa8BZQJFqXic861bEln
mzalfEdnOm/vRHk77Clv6y5K3bCF4jfYUuRGW4qAgqFAyA8K2bqTgux2UoDd
Dk3+LDCH5QedQVswUz2g0xbAmdqMYczVl8zVZ6tyjpbKmJoey3HhLaTcBD9O
Cql+w0NIjUc8wBOWJ3MF8oK8hfR+w4/7CDgS1KQphaJfcl/yATd8Ib/Wbcgf
/GAFgR+hUBjilEgouv03FAvFQfHfdKBEKLlDB4r4uhGl4XPOtm5N5+FL8rt0
ofyuXSmrS1dK7NaNwnv0oFO9etGluXMpHzo/azadmzaNsiZPoWxra8oZOYou
2jvSuT1OlIvH7K07KHPDJjq7dgPl4/OLocLOnen6yTNU5HaKrh1xpysHjtIl
54N0wcmFLjjso/zdTpQNLmRv2kppm7dS5vbdlAolb9tNkZvsKHyjHYUxV6Ag
cIcVBt8Sit8JEQqCAqEAwRjN4wimuNcxY8yRA6kLzpibH3XZLuY+B33svh1y
RH+2s+pZmsd0U9hhjCGSI5If0n94K5IehOUnJOMWX/DEbzRiFcQrnuAF34OD
Gjem4MZNKLxxU4oGUwL4NfAjGOwIYX5AkfAf0WBIDLxHPPiRAHYkIX5J7tiJ
Ujt1okywIhvxSyJ8SA44cgEcuQp2FPbqTcXwIVfgQ/KGDKHkocMoZMQIur9l
Cz3YsYtu7dhBhdu309UttlSwYiVdRWxzZdp0ujJ9Jl0CX1LGT6DwMWMoGkwK
RDwVZDOJfCZNJk94Jvdx1nRkzFg6MHI0FYAp+c4H6Dx4cg4e5RJ0cbcjXdy5
hy5A5+FZcqEsMCUDTEndtouS4VESoXh4kwjmyXqDQtZvpmAoEAqAmDHBgi3+
gitekCd0CjqC9nKtIVssOY9alf5kjnu6uf9mbXLX2GfI60p6ZRZff97iPhco
7394PQTi6/EoJPlxwghDqsMRyRDpR3iMxRPygtiDhDZqDIY0pgiwJAosiQVL
4hHrBOPnoVC4yhEoTnDEwJDOlN65K2XCd+T2sKJ8cCMDHMnHz6927UZFvXvT
DcQwN4cNo6KRI+kCmJAxbhxFw388cdpLT44dp8e+vnTX25vuHDlKN3fuohtr
1tKNFSuoZNFiurFkCV0Hd26CQYWIbS7Onks5UPq0GZQ8ZRrFTppCIeCJ3xj4
r1FjyANyHz6CDg0eQled9tNVxD6XwZTLGlMc6MKOPZQPnpwDT3LBk2zwJAMs
SUPMkwKeJENJ8CcJ+F7ioTgoFgoVbAkSfPGDfNZt1r5DP/GdMldOQMeh/VXg
iqXyoyb9qT7v25YQh1SHMRX9XF4/PpAag/srChD+me9zYVCkUBQ/x++xTgiW
6HlyWsjTBEtUjtiBAzuh7WDFfh6LhdyhU/AiHkLsScKawI+AH5GIS6KbNqPY
Zs0oHt6C+RYGbxLWui1FtGlLkWBKNBQLniSAJynMEXgF5kgO/Mg5eKuYVq0o
F76F/UgxOFIyYADdAkdujx5N18eOpYsTJyKWmUzxU6bQs6PH6KmfHz2LT6Bn
ySlgih89PHyE7m3dRnfhWe6sWkO3bGzovt1WurN2Hd1csgxsWUol8+ZT0czZ
dBEsOQvfkjtlKmXZTKZUnHMimBI7YhSFDRlKAYOG0OkBg+hw/wGU1Lc/xfXt
RxF9+lJg776Uv92ezoMl58CSs2BJLliSDY5kQRlgSTq+i1QoBUqGkqBEKEHh
i8YY8CRIyE/IEzrBws9PQy5GuNKQ+WGqT9Q1ZyyVHbXJGHmdcP4yUPgNGWdL
qa8HCz/CHIlQpGcKj9Ge1LHEw/rj/IjKkl3gxG5oD+QIOUHO0AHoELjhBp2A
TuO5B4v9EPxICPxIGFgS0YRZAl8CnsQ3a67FKqF/+1upL4kCQ2JlbgSxDcc3
aeBJRuculAUPktfdihLAkjzENtfAlxt9+9LdoUPp7qhRdHe8NRVPmEiXwJDs
GTMpadZsCliwgJ7HxtGLxER6kZBAL2Nj6dnJU/TE1ZUegR+PZ8+mx4iB7tva
0d1NW+jWmnVUvHgpXUcMVIjfvw4VzZhFhfAohWDKtYk2dGXceLo8ajRdHDqc
8sGTs2BJDuKrjH796cgXX1AUWBIKeffqQ26QK3wUsyTPjrVDU64tazvlcL4F
yoIyhTKMKFO8R/++RPAkHoqDTnXrQYehvcJ/rh3doUEzpDa5UN5nNHR+VOYc
VH5441qRCtRxQypI8SKSI6xwRXqmhCo8UT2JniXMEHuFIXuhfcwRcMMVYo4c
w/Pj0An2JRDz5LTIkzBPQhVvEgOWxIElCWBJ4uefl8U47QVLOhhYkoIYJ505
Ak+S070Hne3Zk1LwueeYJZ060Y2eveju4MH0YPQYujthAhXDj1yePoNy58yl
lEWLKGTlSnoZE0svo6LpVWQUvQoPp1fwJs9tbenF0qX03GkfPd1tb+DI+o10
YzVin+UrqWThYiqevxBMmQd/ApZMnUaFkybTtQk2VIB458rosXQZ3uTC0GF0
Ht4kFyzJhDdJgTdJBUcioUQes4JCwBI3eC93HKvGER1LVGUbUZatcY6w0oS3
2bt2IDlCe6Dd0E5or4hnnUePo93QFjFHz9zXfWX7RW1/7glPv1L9VfjhI6R6
Duk7+NFLMMVL4QtLz5JQocoyRWWJ5In0IcwRB8WLOIEdGkeEJ+HY5qhgCcc4
JwVPTrGPAkeC4EtCG6txjvAmzZknLSgZPIlQWSJ8CedL0gRLOFdyvncfSuWx
G7yPWXLTyoruDhxEDxHf3LO2ppJJk+jKtGmUN2cOpS5eTBHLl9PLkFB6GRRM
3waH0Cs/f3rl4EBvvH3p20NH6PkeR3q0bQc9gC+5s2Gj5kturFhFJYhzihcs
omIwiX1JEWKdIsQ4hdYTqBC+pAAsuQqWXGJvMphZMoiywZJssCQTHEmDUgRL
gnr2pghwJAjajbZgMUuqyhHJEskRZ/BinyInoRTBFxk/8bV0RvhOrj+3Bd5l
t5nm/la3X9Q2o1SuSJmbDbXVTswQLyX/YUp6vqixDfOEc3W+QjK21jNF5YrK
FHfBE8kU+3/9S5OTYMgesIPlAElfwjkS5slBwZNjCk9O8Pmg3xhYIuMcA0+i
pDdpbvAmSexNEOtEaWM431AcWJLAMQ7nXsGSzG7dNJaEt2ihzfk4D+5c69iR
bvToQXf796eHI0fS3bFj6QZ4chUxznl4ifSFiyga3uSVfwB96+dHr7x9NI68
BkdenzhF3x06TC8dHOnx9p10f4st3V63gW6uWkM3lq2gksVLqHjeAiqeNYeu
I74pQnxThPhGY8nYcXQNMc7VESPpMlhyASw5B5bkgiVZYElGn36U2tvAEs2b
gCXR4Ei44MkBtMVpq17V4gjLBbzYDzkr4tyLKulXmCWcg4mVeXnBFJ5DtALf
0VZr4zUa6oszlsAxKWN8sQTGVPZ7YIbwOAeP/5mSn06m+KLGOsGKP5FM8RcK
EDLGE/YnvJ5lx9//TjsaNSZ7cIO1mx8Vf+Ik4hzOlbjIfAl0RLDEjXmCz/JD
v5E8Cf6TN+EcrGAJGJHyz3+KOOcbigVLOM4xsKQzZXTpRjngRhQ8TDqzBDFD
AVhT0r073e3blx4NH67lTErAk2sTJ1L+9OmUCU8RN3cufevhSa9Onabv9+yh
N/AlbzzP0PfH3em160GNJQ9st9Jtjm/AkRJwRMuXIL4pnjtfy5dcnzadihDf
FCK+KUR8c23MWCoYCZYMH0GXhwyji4P0LIEvAUuSwZEExDeJYEkkGMIKhULA
EX/oYOu2RjmiZ0iW4IcqZomaT9FzRGWJ6lH8hEfhfDvPXZbrlVbi+6rs9dxQ
54Q0FMZUtY3lOC6P80n56P6vlynGqEwxljuRTNHHPcyTQEU8TnBYzGHYKxiy
HdfYNojHa3ZAu3Q8MeZNONY5xucGfvgqLOE4R3qTiKbsTZppcY4hb4I4hz0H
eGKIc9iXCJZoYzldKbt7D83HZLYES9q0oQLwpgR+5W6fPvRwyBC6O2wYlYwc
RdfGjaMLkydTFniSAAXAo3y/Ywe98fGlt+DIWzd3+v7IUXq9z5me77anh3Zb
6e6GTYhvOFeygm4sWUYliG8KZ86ma1On0zXENgXob5wnuSpimwLoyrDhdGnI
UMofNBgsGfgRS9iXJGm+pDfFgR+xEMc5IVAwOBIAeVr11FhcHkdcdQxx0TGk
PI7IR3WsiMeI+N7lIXLpMvY5Jpiy17pq9Rqq4mUsJZ6qS8bUBj+q8nundQxR
2cH/9zIi/fuqw5Py8iiSJy7wI+wnmCk7wZI1iHG24nEztEVwZafCE2PehHnC
4whn4GskTwJEnFPmTZqU5U3E+HASeJLSoiVF4hhiSvOvnbRx4bQuhpxJvMaS
lnS+dWu6+s03pSx5MHAg3QZProMnBaNH0wXEIjnwEkngSijinjeeXvTmtAe9
dT9Bbw4fgSc5QK8cnejJjp30YLMt3Vm3HvHN6o/im+v6+Gb8BLom4huObdiP
nIcfOdtvAOWAIVlgSFbffhpLUnr30ViSAE/CHIkWLGFf4geOHEK7eoElbtAB
SOUI80NK8sPUGI8xjqgMMTbmzI8c8/iL3LqcZ3RY5FN4XebCCnxKTThjbgbU
N19MMaYmbcJehHOR3Afl3EY5b9pH4cYZI6oMU8qLedScrOSJPt458vnndBLX
9WmIWeIIrQEPNuN4mSObBFPs2K+IuEfmTlSeHOTYHL/nySyBfBv9Oc4Jg3h8
OKoJ502aauPDHOto3gQ8if7HP0pzJsmdDDkTH/AnAe/LxHuYJVfAm2Kw5A7u
/ffgCW6DJ9eHDkVfH0UXx42nHDymgiuRM2bS2xOnND/y9vBR+v7AQfpurzO9
2L2HHm3dTvc2babba9bRTc65Ll1GxQsXGeKbmSK+YZaI+KZwNMc3o0R8M5Qu
KPEN513TwY8U8CMRvEjo0ZNioMjuVhQl8iUn0QbMEje0yUFoL3QY7e0IqQyR
kgypKUekJE9YUeJ6lDUuvUSe7LiIfbjew7JqMqUq86f+CpypzTiJObJLzA2R
86NVfkiGeCqPnspzY0wpz6OY4ompnOxRXMvMEU8hd4jjFPYfc3APXYPHDRBz
xVbvT8ATOa7jwmM7fI2ij3hAXpAP5PeRN2kMnhjmwUaCD+qYTiLHOs2ZJy0o
BmyL5/wrWJIClnCMlAgPk8UsadWKrrRrT9cR+9zu3VvLv95CnFE8eDBdGzGC
LoEpZ4cPp4ypUylmylR6e8yN3iKueeMKjji70CsHR3q6czc94Dlq6zfSrdWG
+KZkMY/fLKTrs+fSdR6/mcq5kilUOGGiNn5zbfQYQ3zDvgQsOY/4Jg9/N8dI
fMO5EvYkzJEQ8CQIMdrRRo0oEI++kA+0v1sz2gMta/TPUn6oedbqciTFBEdU
lvA8uBjOaYl4R9Z7YJbwenBe6+kALagCT2orj/IpMaa886gqX3iuswv6ZpDo
5z6CCx62hnUWrNPiuYfu/1IqV4x5lPJ4IseMeYzHVP7EtVFjzY8wR86IRx/o
uPBRa4U2Co/C+ZPtIn8i55xo8014TRo+6wT6zCnIE/KCfCA/7kelYzqN4U2Y
J000b/LR/DUoGVxJBUti//lPSuzYiZLBEvYyCXhfZnPBkvbMki50G332dt++
dBM8KRk0iIrweAUxzjl4iUzEOXGTJ2t+5K3LAfp+vwt967RPy5M8kuM36zfQ
zdWcd11eFt/M5rHgmcpYMFgyFiwZNQaehMdvRM6V1//0H0jZ/fpTJliSpsY3
OK4YkXMNg/YiduOc62Gw46CQC+QIbYMWo31S8B0lC9UlR3jufoJQtKgBIWtG
SH/C/+e1FjtwHbA/WVtOLqW+xnsaCmdqcnymPAz3rVDhDfxEv/dUmHHS1rC+
guUunp/UMUZli+pTTMU8/Hd4jvUZMQdF+hNT+VgH+I4TIrZhjngLSX9yAOdg
Bz4sx/tUnuhzJ0543zG8z01jSeNSbyLzJuxNmCcBUBAUDGnrdKCoUn/SlOKU
ObEpLVtS+hdfUELHzpqPScLPs8CSc2DJ5W++oSKw5FavXnQLLLnVvTvdsLKi
IsQ1V8eNo/PW1pRlY0OJUMBEG3rjvB+xzT54Eid6ums3Pdy2XcxR20A3Vq3W
WFK8aDFdn4f4ZvacUpYUinklMlfC8c0lsCRfF99k9O2nsSS5N3OkDzxJ2Vjw
QRz7ge7NyRXMkHKGuI1PQewLnSHVk0imJCniea5V5Yg+tklQJNcDhYvxnTPC
n3go8Q7nZNmXLtf5E0vpz5bAmLr+29o9evFycu7UmY7j8TDkys8hd8EOKTch
9bUTCldUppjyKKdxnbE8OIaxrTgfK1lyXMQ3HgpLfJRrPJCfc7wDn7AD2oj7
62ZwRfUm9vg5M+cQuHAEOg65KzzxalyWhzUW74SJtX/sUyIal80/4RxKCriR
/u9/UySYkoS/W8qS9t9QYdu2dAMx0G1mCuKNm+jj1zmfMWYs5Y8fT9mITZIn
TKAQcOV7cORbRyctT6LNm7fbRnc2bqab61SWLNFYUsRz56fPAEumgiWTSllS
AJZcYZYMMbBEmz8PlrAnSe/Tj1L69FU8SW86BX44NPqC9uNRE/jhIdr6lBC3
/XGRg7WHTMU2kiHMkwRF8ULleZLyOKLFOlCE4IlchyXHdxw4RyxyKOv4XtLA
5s/WVf+uL25xTaHjou4W92fOrUkGMB+cwJM90G7IXvz/uMIUyRXpWVSmqB6F
13edFDIW7+hzJ3pv4sg+QlzTfH17CfH90h8KEI++/BrOZysL/ZlZshZir8I1
DZzxOS6Qq8gp6plyApzgvOMpyAPyhM4IvoSJMY5wzlNC0VA8xwnom4m9+1Iq
Hn3BlNgWLbV5arlffkkX4GkKWrSgYhzX7X796PaAgXRz4EC6wWM5I0YYxnLA
khwwIAUcCRs3nl477qVXexzp2S7ENzt20j1bO7oNltxYt55KVq6m4mUr6Ppi
ZskCA0umTdfW4BTC01zjMZwxBpZcBksuamPBQyiPWdJvQGl8k9zbMHfep0cL
8gQ77MERW7QPc8QL8Y2vJkMbc3ufEBxh/3cIclJYUtXYJk6sy4kVihHScyTe
CEdY0baG8eIz1mV1a2Tcc1jU2uV8+yp85+urOHb8qcgcvofHMjinGSr6scyR
nBCcOCZ0FDoiZK9wxUHIEdLz5DiuDzch1Z/o8yeV8SZHxXV8SvDDS3gSX4Ul
fkrMs5HXjEGrOO6BNkDrwIqVHAMxQ4SXkf1D+h1P8Rm+4vN4fkWQlZhv0d2K
QiHOK0RzvhJ9kVmSyLkHxA3puO8HgRu8pi+9dWvKhRfJhye52rkLXe9hRbfw
vlv9+tMNvK+EWTJ8uMYSHsvJHW9NaWBKBDzFt+DIS3gSzrk+3L6D7m6xo1vM
krVgCXxJ8XKwBL6kSGPJnDKWTGCWWFMBvM7VkWUsOS9Ykg2WZIAlwT1b4bxa
kh844giGOEGHefyKzxEKFHPUfEVbeCie5LAQxzk7BU9McUQ/j6SiHEk0rpMo
oUihCB67Y9YoHIkSj1rtChHnuImaem5KvMNjxkvgT/4qPDFnLMfjGJGCI9z2
+/nawf8387Uj/AYz5BB0WEjy5KhgzHEhfi/zhH3MXmifEMdJav5EP75TGW/C
98Bj4t4o866SJX4KS3yV15k5u8CM3RDXGdgp/r8N2gptgpgtxxSWGPtsv+49
yB/iMY1QkVOI5PyCjiXJnIMAI3jufCJYkiFYotVA6tJV8yVargTehGuYFCPO
KRw2HH1+FF0EP3LGjqVUKAp6BY4837lLi28ebNtOd5glm5gl66h41RoDSxYL
lsyeQ4WCJbye79o4a4po156i2rbTaq744Fg84JMONfuKDjT9klya/ptcm/yL
XBv/iw5C7ojV2IexHwsV89MMLClrT5krcRP85RiHc/R7oMrOR1M5orJEzbXq
45p4xY9wPQNWiFAwP4qxYq0mp3VZraxjYq4sj+9wba3tDYglVeWAJeSCOP/I
833CBefDRP/l/n1a8EF6EmbIQR1TJFf45wfxvR4SMpY/2Q+euAhxHuYAZCwP
a8qbHBb3RDXvqmeJv5I/kb6C50TsE/HMERHDcE7kpPj/QfFze8hWGR/yADfO
QN6Q6kuMs6Sv8CX9NZZECJZkgiV5zJIOHUpZchPvuwHm3NDGhIdQEfsSxCKX
wJI8MCQdioZP8QFfHttu1ebM34FubtpCN+FLSuBLQvG7Yf37Uzg+i48lAscY
gc+P7NSZ4jp2ohSwK5FrNHHdexyDb4tG5Nn8azoBlriDJceb/JtON21KHk2a
kmeTJojhmtBpEb8ZY4m3whJ3wRL2dPtFnFMRS/RzSCrLkTghvR/he5+skSLF
cxbZk3C930PQQWgX+yYet8M1vhPaXM88qUo9OT0PKsrRWgI/VHH9snDxHUmO
cJ/ezbGnrSG+YV4sZE+LxwNCkin7ee6pkPQnFeVOVG/CPDkIHRK5XtYRyJg3
OSLuicbyrn6KJ/FW8iZBzJLPPydn6JQco+H5I1AAFAgFQyGNRD4VihSvc47k
GHQE/Ww/tA9yQr9zRv9zadaMXJq3IJeWregomOHeuq22Z0Ug1yLg/Sq++opi
/v0lRX35JUXg/6E8BsTz8MGYOLw/Af07Ge9PQeyTCs6kanNSOlMSlADFQEF4
/RI4kw+dh3c5h8dcxEQ5g7j+CM9d7Uc58EM5OMfs7t0pGyzJ5NopHTpSBlgS
27Y5RbVuSqGtGiPmakS+YIk/jtm3WXPyadqMvHA83jgXnlN3Bud2SrCEeRlU
ji9xF/7wkPAle6HdCk/K8ySmWFKZXKvkSLBgB6/Jkmu0tLFHXk/BeXU+PuFN
Dom8yT7mCmQLjeZ5QPXEkcqwpLI8sORxZq0Wp2D8UZH3Dhb91lf0+9X8vQh+
OAuG7MX36ATtYw+ieBM13lF5Yowl+ryJ3pscBU+OCfGY0l70kQOQzJUYY4m/
+L9kSBgUAUXy9S98iDq3lVkSpMkw3sssiUR/ikK/ioHi0M8StbGZFhTTvCVF
gBvhYEAIGMD15X1x/w/CMQV27Uqh3brDG3SnRCi0TRtKbNmSMpo3pzx8xoWv
v6bL6LdX8RqP4xTid4s6dtRqPRfg8QoeL+Ez8nltMddk69xFmzsb+U0HxD/D
6ArioItgyMWhQymf57TBy5wdOIjOwpfk9QFLeoIlXbvh9zpTJo4p6Ruwql0L
im/TjGJaN6FIsCQK/IpAjBOCcwkASwJwXn44Jj8cn3djgy9xN8ESHyMskTkT
jnP2QQ6VZEl5nkSfb1U5EqrENHJtp+QI3wPlGJ+fqOd5XIlxZM5E9SZ13Scr
w5HK/M3KHps5GbND+BFZsyzctqweUYDo4ycFG5gfzvgOHQU/XPDcVUiNearK
E1N5E2M5k0Py+kXfPQa5QSegU5DMj8rHYCjUBEvk3FbfRoa5I4EQexJZ37WU
JbhXx6OfJaHfpbVoRdlt2tF59O88sc4mBf2X52XE9+tHSYhpEtC3MwcOpDTE
HglcXx7vPce+Auy4Av5c5zpIYMXtXr3oDvr/HZ73yjkTPC8Gf4qsrKgAjxfx
njz8fgYYw+t7isGQAnzuFXiRi2AK1wvIx2vn8fwcPuMsjiEXv5valetDtqXk
jm0MLIEnSYU/Sm7VGlxrRTHwQ+HgSCjOJxgcCYT8BUu8tPimiTY2pbKE4zo/
HUtOKyzhOOegiHOYJTsFT6oyn6Q8T8IcCRP5ETW2URnCkmN8Mh7mWlyy3vhR
sW7HRcyxZ5Zw3QJTedjauPczQ/h4TbGkKj6kpv28PvgSKDxJtGA8e0TOW8WK
74yf7+vWg9bzPHN8l/tty7yJi5AxnhjLxVbFmxjLmXC8K+Mbfd5VG18ATzwh
fvRmtkD+kMqSsvlojRDnGOa1+isxTphWJ5pZ0oSiwRGuFZ2A/sbzWdPRBjnt
2tNFcKQAfb8Q3NDmvI8YQWdHjqKsMWPo3OgxlDt6NOWNwvO+fSkf77sMNlzh
vSa4BhKe30f/f4zfeYL3PRk7Vqth8gCfcwdMuQUmFPfqTQVg1AWOV/A77E2u
428VgFVX+g+ki4hr8sEqXud7ntnVtztl9OxC6d07UFqXdoiTwI4OrbX4Jh0M
S0W7JXM8BT8UB5ZEMku4Zi14Eojz88e58hi3p+Asj02FijGc8lhyQmGJGudw
bqIq8U15nkQdt1E5Iv2IHHNksY/m/ZLUusFHRR7wsPAlnH/lvVr3iBxsdfIm
lWFMeRyxlHikNvniLDyJynm17m+oqBsSIfoz9/9ZvK6LvzPBE8kUV9uy/ElN
vImeJao3OSCuW5kr0bOkbNzWENuECF8SwPEHFAyF8Py7r76iE9AZseamlCVi
/pmh5rzBk8Thns1raXg/rEz0ybz23yAO6UYF8BRFQ4ZS8fjxVMg10aZMoStT
p2o1W/MnT6ZLE20on+MS9Pur4EcB+MPeg+syPgZDXuJ3vp0xg76dPp1eTJgA
toyke+DDXV43DJ9RDK5cgc84C2+SCm/C4zDX+vWny+DTRWYUfp7Vt4emzD5l
LMnhWtWIcbLArox27SgNx5yieZKWFM9rhZozS5pTeKkvaar5Eu8mZfFNuBjv
DhJjVr4i78z55/JY4ipYYl8BSyqKb+Q4MHNEzZFEl8MRGZMbq0fOMbzkiItg
Ca/X2QHZluNNqts3mR+y/0iWWFJOo6acNCbpSaLk9yPuASx5b4hTfs6+kb+D
RVz7Q3Bkn+CKyhNj3qQ6LNHHOYdErk+fd1VZ4q9jSTA8VQgUBrEviRZxDudf
TzNPIJ+vviZ/KBAKLV1rwyxpSvHob0m8xgbxQRbim3MdOtJlxB8FfftR0dBh
VMz1FWfM1NbVFS1YQAXz5tPVuXOpaNYsugxmFPD6X/T7IniNW/AjD/DaM3Dk
u1mz6c38+fQ93vdy4kR6Ap/ykOu/Im65j8eb4EYBWHIOXEht356i2rShq717
U26PTpRtBVaAHZkQMyQPjMpD/8+Fj2GWsJfJhCfJgCdJ49wujj2B9wbEeUSD
IRFgYxjOKxgMYZb4ilyJh4hvwo2M4UhfwmNap9GWJyA36Jio+6zmTBxFnFMZ
lqgckfNJysu3SpbIuCbEtiyu4euF/7a8dtTaGPtwrTND9grxdbxLeJNN0Ipa
4on0I9KTaFyx0DxpTRmj9yTBIo8VJu4BcbYfx6txymOM+B6Z7dP//vdSlkie
qN6EeaL3JjVhyX6R45NjwcbyripLAnB9B0EyXxIuYpwoEefInElp/lXMiw/6
Gjz5uhFFIPaJwuuxvC4PfS8N9/bstu0pH77mMvqTxodhwzVfUjJzJt1YvJhu
rFxFxStWauv/8+FRroIz1xC/FIIhJYOH0B3EPY/AjZfgx+t58+jNbPAE3uQV
Xns6fDg9ho95jMf7vGcOfA/nTc7Ck6TyXuatWtC57h0pt1sHyoYy4EHycBx5
eE9uN4N474xsrjELT5IJT8Lz43i+bSI4wmuZY8CRSDAkHPwIgYLYk4CZPo0N
4zcnhScJVWof6Vmi+pKTVmVjOQfR1i5cSx7aA+2A5BocYyyRnkTOcY0W81zV
606d22ostpF5VmYJc4LXXslrqLz916V2K95kXS2wROVIiOJJquoBGgpnpAfz
F+NpIcKLydhGXYcp68/IeUIxth/nZNeBJwt4Tobtx7GOqbyJ9CaVYYk+Z8L3
vCNWH88r8dSxxAfXry/kzxxRYhw1XxIlvAnnTE7L/KuyziZUq09iWAMs1/8m
8xx4xAhZ8Abn0Lcvov+yR2DPUTze2sCShQu1mkQ3N3DNxFV0Ga9dg/8oGjtW
q3N0C37kPuKeJ4hpXoIh3zFP8P/XiIe+RYzzHDHOM3DkEbhzl+ed9OxJl7t0
pJz2nDdtQeEtmlFe53aU36UrnUW8lAtmcCyT08kgzYtAWfBNpZ4EHOFj57VB
XLeJ1yByXTjeoyMYCsR5+olcCa8PkOM3oVaGeoyGXElZPtsUS46L7+agkjOR
cY5cgyPX3ujnyxvLlZTnSdTYRuZa+frgHE1l9h3l/XgOKKzZLnKwG6GVNeAJ
f5Y6hy7S1nTOtao+wNzMKO/Y/HVjN9wG4SI+jRQ+U71PJIl7iFzzLbnDfnL5
559r89Dn/utfpbGOsbxJeXFOZVhy0ESuxAPcOAN5Q3I8mNf0BetYEi54orJE
zjPxEfUYtZrz6v4VzQzjwBwjpLdpS7nfdKB89OFL6G8F/ftrvqQQrCiCB+E9
JIp5jd3qNXRz3Toq4D0lwIrr4ETJuPF0F8x4BL48BUNesBeZOo2+nTSZvsPP
X40ZQy+Gj6AnHAPxXFirblTUtTNd7NgeXqgVJbVsRlE4lgvgBMdYfBzZ4EV2
e1Z7yoDSeH4K50eYIWAexzbMP16zzOuXmSOROC+uCxcCBeJcOefKHOX1i6d1
HAnWWPLxuiaVJXKNn8oSNWcix3P0vsTU2hsZ3xibl6b3JHJfY5kjqcreovw+
9uSu4n7Hz5klW2rgTfgz9ONM5tqrvT74oZ53qG1ZzeVo8X3FKZ5E3iOidd85
f9dx4mcx4r2bxDx0nqO0idnC15Nt1eMcfT0ClSUuuviGY3Xen4k5Ymwdjp4l
oQpLpDeRORNPhSXcv0JK680302KCBNzXeTw1o207ykXscL5zV7qE37/afwAV
Dh1GRbxPFrjA9cx4va62bhe+5Bp8ShHYcR28uDllCt0DQx5B7Euegz0v4Fle
TZhIr8CiF4iDHg8eCI70pjtW3amkWxcq6NyBLoAN2fAWKeAI117icWueO5sN
rmW1bqPNy+cxmiSex4L/J+G9SS1aanWZ4lk4fs73cP03zv9EiNpwwaJWHK97
9hFrFTm+0XMk0KrnR77E24gv0edf2T/y2hy+z8jxHNWXVDQWrK65kf0zRN7n
FU+iepA91WAAz/Pm+95Cxc9U1Ztwv4rk+7KxcaZPgCUVeSNjnkTmSVSWSO/5
pz0edV6VGbMffdpZ3I/2iPvRUviUDVY9axTn+Cqe5JDI83G+T41vjK3D0fNE
9SVqnHNSxjmipoBkibZPn2BJPLME/ZTHRHLgCXhc5aKVFV2BL7mGGOcq7znD
6+jmzKXCxUuoEDwpWrmSChYtosL586kQ7Lg1dy7dnzWb7uP/j6ZMpSfgyLOJ
E+n5uHGIbUbQsyFD6FG/fnQfn3sTHClGDHMFvuMsGJHB3gIsCOf6KV99RVnw
SBlcDxKs4Br48VpOtYVWF59rHch8CPOQPVaYxg/DWHeYqOUUKNgpPQnHN278
M9FmgUo7ylyJZImsN6X6Erku57AS5/B8+p34rpgjlZlXYmodsOyfHI8HihwE
i+ev7mXVIC5x4HXQOp5UxpvI/sUc0a9XNjdLavp3Kxtb7ROeRI4DS09SEUvk
c/0+A/JaYF+7T+TcWNuFtgivssaqZ6VZovckTvicA5BcF6yu35W5EjkWrLJE
KliwxBhPTso4R9QQYM8fpMUA6IvcL9E/Y9GXE3DvT23XnjI7Ir7o0pVyelhR
Fvp+HnxJ3pixdA5syAcrSrZtpxs7d9GFpcuocMUKKoZHubVyFd3B83sLF9ED
sOXxnDlanPME3uSpzSR6PmoUPRk2jB4NGED3e/fW6iJxnaTLgiXp/PfhiXie
rR+4xnvYpPXqY9iTVNub1FDPOhgKEPkP9hreIn7zFDlmDzWmE2sHfMRzfp3b
SfUiKkN8rMrWNUmWnBYsOSFYwvlXjnNc+b4COUKcM9kG6dfxVYYlxvpmhG5s
l2uS7DCy91ZV55M5KzzZgM+dif+X18/4fVGCI0bHmczsSar696vTbgHCk8hx
YDW+McUSyRA9R+T1IP0p+xJeb+sk7kkc8+zG9bQV2gythZZDC3k80QhLVE8i
6yJxfTVXq49zrur4jRrfqPNd5do+yROZh1V5wuLxHHdRm8RT8/tNyAv9kcdI
/XnPCq5D0m8ApQ4cRFlDhlLe8JF0YfQYuoK45tqkKVqtkOsLFlIx125ev5FK
bO3oxtZtdIk9Ce8Tvnw53Vq+gu7Ar9ybv0CLcx7OmEGPERMZ4pzJ9HzCBHo6
Zgw9Ak94/OZWt25UxHPpmSWIZ5gl8ewzOCb5+mvD2Axe43HqpJ69tFrP8TiX
OChW+K0owUs+11DFa8ixmDNWZTGKm2hfNUbUc0TGNmd0LJExjvYZ+F55LEc/
Z207pOdIeSzRexLJELknzgHBETl/tTL9o6K+osVJkOSJvqajKYZYKksqw5Oa
5HbtRF0SPUeMeRLJEvl961mi8kReB3IOtavQQauP8+rGdEzUMnGHuDbSqXWG
+mpqzlXWFdHXAVA9iXq9S6lxj59VWcwTKn5H7pl9Wnt/L/LlOh08FtqrN4VD
Ub37UGxfyZLBlKmw5CpYwjXLuBYi1zLjnGvJ2nVUsnET3dxiS1e4vtnChVSy
dDndBlNuw4/cmT2HHvJ+4px/nQaWIC56wb4En/V01Gh6hM9/MGCgVoegqGdP
bT7c2U6dKINr2vP4C/smxDjMkhTBEh6fiW/G+/Q00/LE0c0MOdoowUqVJfp6
LupcM25jmYdQc5r2gjOSIzK2UVlynD0jdEQwhO8pPMdkj7ifcLy71Yg30XNE
z5LSa0SspVHnrcr5ZmtM+IfK9iF9f4oQdW34cSpidHkMXPc4TBnvNcaR0nl0
dcCR6vR3Y/no2hgb4s/ka8SYJ6kqS9RH9WfGWLFNzAXaKeYF2Ys5Qpwrq4gz
7EnknBJZU+SU1Z/nuurj95NWZTUE1Tqwcr2ZWkdQsuSMYEmANm+8N4UpLEng
fbs1lgz7yJdoLJk23TB+wx6EazivW083Nmykq+DGNX4d/uTmggV0B57kPmKb
h+AI516fTplKzxEXvdByJuPp6ciR9GjwYLqPOIfrIxUyS7oxSzpr8+AT27TV
1uQFtmhBnjzXRe4/YYIlPBctHAqBgqFASM8SGZ9w26rjrCpL5D7QzHSuw8xs
4fEZRzGPZJ/Ik8k1fU7K/+2F2JvMg/9Trxs9Sw5alXnPk+Ie5CbW5B21nviR
J2GW7Bfr82q7v6r+YyK0iu9Fol3kWIUxjnw01lRHnqQ6cZx+rlxtHIe/zpPo
c67lscQUR6Q/Ufm3XsxH3izm/2wTc4GYJbsFQ3i99x6hveL+sl9cI7yfo4t4
bowvcvxGenTuC3rmyePifJ86j9sUSwz5l17ko2NJpPQlOpbkgyWXOcZhliBW
4VrNxQsXUwnPUVu1hvLgNy4jjimGN7m5cBE8yQK6q+VeZ9EjcITzJM8Q27yw
sdHmzj8fO06bp6ay5JqVVRlL2oMlbQ0sCWregs4oLDEV4+hZEgD5Qd4Q//5p
6AR0HDpaSZawT+S4cwPa3054jZ3Ce+wS3HAUHNmjPO4WcY46F+WYeJTrqqTf
PK1w5LjCksO6+GZfLXNE7atqP5zMexGIdSSBYkwpXJnXr+ZczRHblDfXTeVi
bf09OQZcGU+i5krKi2/0DFE1jfejUVgiPckOUTfCUcS5zuK6kBw5IK6XI+L6
cTSyp54pDxOrjDVKjqgsUWvz6FnCYpZ487502h7cvSkULIkAS2J0LMkdoWfJ
dG3f3quIda6CHQVgxwWu2Qz/UQxfchOxze05c7U8yX3w5RHY8wSsecYc4fmv
1mAJPu/p0KH0GCy5J32JFfuS7nS2s8GXJMGXRIMlwWCJF/p/KliSXMqSnkbz
JRzjcH6I80ScL1JZcgpyFyw5xLwZOJCCoEAoAPKHJE94TxHuT54i9lT3aOR6
e8yVHQpP7AVDdiBG4LpSXE/XievWff655h0lM04qHlIyhMW1RvS1AtT4Zn8F
eZKaMkTfd8Z/ZtgzW/X1YWK8Wh2zlmNM9cmSynBF5oJq428E6vKtVfEkKktk
P61oXtB6MYeQ5/5sBjvsIOaIg/ClTuK+IllyQFwnKkf4OnIWDDkq9vtlrnBt
YC8jMsYXHouUc7grYslpsMRLsCRQxxItxhk0mDKGDP2IJRfGjKNLEybSFbCB
PUjJosXa/uCXeXwY3CgBQ24irrkzcxbdmzaD7sOPPMLPtLGbiTb0kueWWFtr
4zjMkieDh2h7+PHceUOMY2AJz2FNamtgSQhiGm/BEulLEoywJFKwROZKmCWy
/sgZq4/rtYYwN4ywxA/yFfKBvPk1hSW2wofI+WkOzAvwYzfEtbgPiTp1LoIn
juJR/n11PyOurch1nmVdRckSfXxTm56kMr5fXkvTcE58zswyWZcjwrYstgkX
/aK+58NX9m+YWhdUXY7I+SRq7qiynkTlSGXOby3YwbITMY694MhewRBncX9x
ERw5LK6ZY+IaYrkIfrgK8R5tvI9sgCJjz/2NsEXdp0XuBaXuo80s8ewp8q/g
SIhgSTRYEi98icYSxDjZeDwHphTIfAl8CbOE99+8sXQZXUH8wq+XzJ5Nt8CR
O+DIPXiVB3j9EfzI04kGT/KK57vK+SUfsQS+pFcvusRrcToxSzpQctt2FAOW
cJ0A30qyROZd2ZeYGsPhWENd38JiP897IzJP9gjfclzomKKj0BEhjpOkjgiu
7BXscBH/Z5Zs/NvfSsffpELx/cia8bI+q5orkZ7kQC14kuqOGfM8bl7Pai9Y
JusPyr0jIyroG7XJmOr+fkW52PI+88BnH89v1cc2Vcm5VuRF9MfC3mST8Cbb
RYzjqORGDihSPYmUPd/bBEN4XzZfhRuBUBAUDIUIhVagj3IuPK8CMf9J3teS
97KEHKBtjZuQfZMmtA9yatqUXJoa+ok7zwPjetC8j8zAQXRe+BI9S0qYJUuW
0lXwgvMoN8CR2/j5HXDkHt77EPx4jEeNJcwRa547P5ZegCXPhw3TWHKfWcLj
OGCZxhJROyC5XTuKBUvCwBKOVbg+q8YSq49ZEmOEJfoxHK5zK6Xt5WFlWJd3
TOSiZAwiYw+5J47GH5FnOSFiJDeFMUcVHRYMchQc2SviHGYM19qVY278fcg9
KCRH3E3ENzXxJLUxdnFExHRcX5zHu5lpgSL2qW5sU1nG1Nb4S2ViHWPHI+sJ
VMQR/ZySZB1LKsMQYz/bJHiyVbDEQVwLruLakPGMfDymyAks4TwJM0T1I3qO
MCfC+D6hKEJRpPIo9VEchPt6LOdZcZ8/BXacbNZcY4cn5NOiFXm3ak2BrVtT
ePv2FI1YIwFKgU9IhxJ53/GuXSkJHIpnf9C7t1ZHLYPX/eNay9XqAPSkpB49
KBSvhbHwf+0R7wuHYrmeQMeOlAde5OBv8HrguDZtKAzc8MMxMDN4nnsQ10T4
8kvyRLsc+uIL8sDryYIlAWIuPM+1k3PTzog1i3INtJ+o0RIgHr3EfN9jvNcp
r4e0Khs7l/K1+vM8NXUtjofCnBNK/uWY8CrMkgOQK7Tzn/8kO3iSrdCWzz8v
HWPW2K7zI/pciYxvquNJajPG0HLCtob5UHxf5Jy0trawjsaA6yJG4nNwqsLx
Mr+ZI7Kurqz5r64FNsURvScxxpHKnqP0Jmqcs1fcXw5Zl+VF3HXay7Gp8CIq
RyRDTHFEzxBWVAWSTMnsP5BCwY0Q9ONwruWKPh0BXsR34vrNXSixW3dK69aN
0sGCbLDjLB7zwYQLeP08/n8BLLnQpw+dw/N8Kyu6iOeXuJ4az7WHrvaw0mqR
8PhMId5/HZ9VDJbwnDSutXYNPLkKllyB/7jcpi1dwLHktmhBaWBGAvxS7Ndf
UyxYEsNzHr74FwWjb8Y1MdRrihD1m4LFOmdWYKOyethcxzZEKEhjSSPwpRE4
00jLo6hS57z6G2GKOmfNU8cTdd6anAN7ULBkP7QPsv3HP2gzeGKPR23uCBi6
iWtv41HWeFZzJfpaaOZgiL4vsjjvHFAJv25p4mOdzZ6qEsfNc+QDdH5E5lrV
tcDqemBjsU2yjiPVZaQa5+wW9xWVJXztcJx8WsgJ1xnv4ehjXZb7UDmixjOS
I+XxI1qnGCOKVZiSBN+R2qULpYETmejzmfAsGf36U26/fpQ7YCCdHWioj3iB
ayXi9at9+lEBYpJr4Mi1vv3oKr6na2BIETzKdagYKsHzErCFazPy/sG3wZO7
+Px7XbvRXbCEdYdrN6I/lUBFYNhV3vsCTMuDT8oGMzLR71PhTRK/+kpjSgSY
ksI1aLW61ob6b9FgiFSUqFfLimhkUJioix0kvAnPnw8R+RSpysyj91J4oh+X
kSyRa/3UtcM8V0ibe8LzX9DWi3AeG/F/Z5zzQWYJdAA6LHRIPJeepDLzSeo6
16nypKFxRD1+rhHCa283mDh+X4UjUYr04796TxKtrPuWa4L1Od/qHjevk5Jj
w8wSjnOcxb1G3oc4VpZ51iM89svXrnVZPtVUTKP3IXp+mOKGVBx/5tDh0AgK
heIn2GjnfR5cuAB2nAc3znG992HDKF8bvxlNV0aN0lQwcqS2X2fR8BFUPHw4
leA9N4cM1Wow3sLvc41Frt16F7ondB+v8fq9R2DPU+gZC+99ht95BJ9yHz7l
DnQTXCmCR7kKf3IJsc755s0pF9zIBDdSwQLJk0xwJh2vp4EjqVAKlAwlcu0m
KL4x13ECW8AMrukUIdf2Cb/CLJH1GEIVnhjzKKbm0+vnCDJL1DkkkiVyLy6e
18bzR3mOOtf6XM05MXFfcRH8OCIYwnxxhZg1TlDE3LmlMsaPumbIpyRtLq+t
WMOP//Oev1xDnvfWdoRcrcvGQ1SGlMcR1ZMkKZ6tNse1Ngme7BT3Fjl2c1T4
WfYlPPbLOX8e35V51kAhUxxRfYgp76FnRxk/hoMfwykezxOsbTQlgiUn27Yr
bYMrY8Zoa4CvTJhAVyZN0uoacV3XIqjExoZu4HXWTWtrus211YYModu8pgas
eYDffTiaNZoecS01PD7G8+cjR9ErsOc76DX0Pd7/etBgeglP8xRMeQjPcg++
6DZ4UsJ7XXDc07o15TNPcA/PAivSvjbwJFrjSTNKRxyUKnjCLEnSWNJYY0lc
Y0NduGgRC6nrhOUc+3AdTyryJt5GcifqOj89S+TaYVfBEW5bvscwTzj+tcV3
z+s/eT7bceuP8/B8newDR+x1LDElc/fR2lZdMlKOTx0XOSCOGXjMP0gZm1Jj
GjXXGl8OR2KUtdwVnVdVGTMP14idYMkewZIjwpPIvV85rjkorjs/hSNB1h+P
1ehjGskRY/yIU8TMCBX8SND4UaZEwZEkwRLPdu3It/03pe3BdVuvz5lDxZA2
Z2T2bLqN127NmEG3obvTZ9D9adPoFvhx33oCPZo8mZ5Om07PeM3N1GmGR+gl
9B1+9hYceg8G/Qj9BAa9HzWa3gwdRi8HDaJn8C1PevbUmMIe5QbinyLEXVfa
tDH4E3AjAxxIgT+JA0+ym7fQ/AnnVVI5H9vYwJJEMCVB24uD6+hLljTR1geW
saQXONKrdA21MZao9Uv0tdXkOj9jLHErhyV8b+H5R3J+NF8XfB1zLu2AuMfI
XAk/57Xm+uuwMlxpyIypr1iNWcLfAa+zlTkg/dhvZTiixjY1if0qw5fpuPfI
ceH94jpxEyxhjrAfUcd+jY3XqDlWvR8xxZE/exCVIYIj1gaOaJo4iTzatScf
sIT3ypPtcnPZMroF3V62nO4tXUp3Fy+me4sW0/1Fi+jhwoX0YN48ustz0Xjd
Hv7/YuEieoX3fLuItYi+w/+/x+O7efPpR/z8V1zff4BHv4Evv0y0of+MG0ff
wb+8grd51a8/Pevdmx6BKZxX4ZjnGvh2oWVLOgueZIEZaWBB4tdfUy7XjeRY
R3oTHivmPArvw8F1r7nOpFaboIm2RwfXMgkR9SgjBUv0vkTPE38jLFHjHH3+
VWWJrGnCcY5sS86fSZ7w43bFr6pje3IcWNY5qtScrAbOl/qO1fj7WMLfl61h
rb6fGJtSPUm0bVkNCHVPZ7X+ohrX1FWbqJol9nJ1FtfKKeFJWM4iR8KeRI79
lpcjiTTCEZUlkiF6fhhjSZJgSfKESZQsWfINs6QjhXfqXNoH7m7YQPfXb6AH
69bRg7Vr6eGaNfR4NbRyJT0CZx4uWEBPliyhF3j+Cq9/t3YdvVm/XtNb6Af8
zs+rV9OH5Svod7zvv3j//82fTx/gbX5gvzJxIr2BR+G451X//vS0Tx960KMH
3ercha63F96kRQvKQVyToXkQxDDgSQ54ksl79/AcNn5diOsnca0CZgnX0+e6
bOEaS5pQlLYHcq9Sb1KdOEfNmRjzJceNsITnB9gJ8f2QucKvOViXrduT48D8
//V8TLXQvyydMebM9/D3spLvA7aGOc289ipEybVKjsQJfoSKcRv9+G995qGt
4ct5D9d1rVrTDmgv5AS+8LwfdzGXRO9JKuKIypIgsCNYKF7ENca9iEFJmiRH
bCgFLEmZOJlOt2eWdKCgjp0oHP04pms3SuxhpbXVo+3b6dHWbfTYbis9tbOj
J1u20JONG+k+WPJk1Wp6Dma8wmuv8bM3eN9/tu+g9zt30o94/MnWln7Bez+A
KX+sWkX/Xb6c/g8e5w/4mp8RN/2AuOidtTV9P2IEvRo4kJ737UuPRKxT3LEj
FbA3adWK8sAT9iKp7D3AE82bINbJ4FiH9/HhfcEg3rOUWcL7+3DNpChR6zVY
ZUlPGef0Kq1lWR5L/EywROZfTeVMwj8z1GjeJthhJ/5vK3yJg/CrB4X283Xy
r3/Vaf+yhDjJUnLG2vg8eMBrNZklgSJnUro3B6/Zx3cSaVu2L4W5OCLF3mSP
uG54D77DOL6TkCfkJVTeuI0+tgkEN4KEZGxTGY4kSo5YGziSrHFkEqWCJWk2
U8gH8U0QYouILl0ptlt3bf2c9CdPHR3pmQNkv4ee7tpNT8GXx2DEM1s7erVj
B722t6e3+Pk7Jyd6D/3g4EA/7tlDP4Env4AnHzZtov+COf8Hf/Nf+JQ/Vqyg
X+FTfkZ89H7CRHoNlnw7aDA959wJ782FOKekc2e6Bq90qU1bOgee5IAn7EM4
L5KHdszBa5lgShrXzOf9fBRforGktG60ofa8yhI1b1IeS/TepLx5Jvo4h9tN
W98p2LFVsETOiZbje/vF3uFbGjXW5iOZpV/VA18shSF6nvC4Dq/V5HVWvI7f
GdLmqdka1lnEWAhHpBbj2uf16uxjOWfC60o53vEW8Y0fjt8fCmSu8LlAepYw
Q1j6HIkpjhjzJMnMEWv2IwZPkgqWpNlMpvRJU+gwz/lC/43guamIM5LR5zLg
E3iOCbfdC1dXeuHiQs/3OdNzZsuuXfQS/Hjt7ExvDhygdwcP0nsXV3q/fz/9
sG8f/bh3H/0MnvwC1vy2dSv9F0z57+bN9F8w6HfEQx/gTzSWIM55PXyEljd5
PmAAPe7dm+7h79/EcRTCm1yCNznXurWBJVxXDYzQaknjtSzwhGvDpuL1ZDAl
iWvogyuxTQ2ehGs5ct3oqO5WFAnp4xzJEjnvXvJE1qYzljMpb86a9CbsSZgL
uwU3SteNW5fVtOHrdhd8qrzHmIsjdc2Y6jKkvsa9+do+JOqT+YoxHZmPjdLl
Wy1lfs08+NfNXL+e71vWhvyrGt8E6TxJCPMF7GAFQOF4XlWOJOmUbC1jG8kS
gyfJmDSVvBDfBHXpQpHwJPGIM1LQpzN5ztrgwXQOfV3jybFj9PzwEXoC7/Fi
vwu9PnSY3h53o/8cP07vjhyld3j+Hkz5Adz5EUz5ae9e+hU8+X33bvpjx076
L/zMH+DJr2vW0C+LF9PPs2Zp4zuvR4ykl0OHgiUD6XGfPnQXf/8GWFKAY7oI
lpwFN7J5TizzglkBRjBLMsESrueYhp+laCxpLlgi9sVhT/LvLykG/IhmhoAn
4d0N+xmGyr0Na5AzMTWew20l619Jpsi5RlyDwp69iPCqm8zoR+qaL7UVJ9X2
OmT956hze9VcbKzgiKUwRBXn1Tjfxn7KQ3BEzlFTx4F9wQ4/SD8fLYLjNyhK
KBoqL7b5E0f0ngQsSWeWTJ5K2VNnUCDimwj0tcSePSm9T1/KRt/OQx8/P3IU
5Y8fr7Xny1On6PmRI/St+wn6/uRJeovn7/D4zs2d3jFTjh6l9+DNj2DKT/Ax
v8Kj/AYf8wfioP/u3Ekftmyhn1atovcLF9Lb6dPpzXhrbTyHWfIMvuRh7z50
p4eVNt++gPf4at8eMQ08iIhnJEt4f4tM4Us0ljRXfUkZS3jtEbOEZcyX8H6p
rEAoQOxZJseGq8ISGedo6z+sy2rpSTFDdiu1sLbj+B0Ea8x9XdY3Y8zBl8q8
z1StIHO3rSnxHCU5Dsjjw37Ck5wBO1he7EGsTY8D631JtGBKDBQr9Od8qyFX
Yiq+yZwyjXKmzSQ39MkI9OPEXuxJ+lHuoMF0dvhwOjdmLJ1HLHKB1wJv2kQv
PTzoO+iNpye99TxD7/j/p07Td+7u9D301s1NY8pPBw/RL/AovzFPHBzoA+Ki
H/D73y1fQf9Ztpy+n7+AvuM9/SbaaHtdPJF16eFLroMlV+FL8pklbdoYciPN
DbkRnkOSaZQlhj22mCVRYo+LilhiLP/KPPET+yH6iD3NvPj/VuWPDZ8QLGFe
OAp+SIbIOjYqYz4Vjqh91ZyMMTUfzNLyNLUpvoa0/D24wXLjXKriTcKEIipg
iTovTfUlzJO40eMpboxB8UL6+CZdY8lUypoynXKnz6Rzs+Zoc0OT4Emy0K+l
JzkPT3J+0mS6MGMGnUW/vwkevPb2oTe+vvQuNJTehYTQ+6Ageh8YSO/9/ekH
Pz/60cubfvLwpF9PnqIP8Cy/gSsfnJ3p55276MfNW+jdypX0ZsFC+k7bW9hG
q9v4ZORIeoC/eWfgQCrp20+raXIOLMlt21bjRhrvJ8h7+Hz9NcU0bvwnliQo
LOE9COPAkdieLEOM82eWmM6/GotzvMR+iZ5izzO1XoGs2bpP5ELsBT8cFKkM
+VQ4Uq26InXMlfKY8qlx5YSnH60GP3heEq8/59pp3tYfz6FXx3KiBEckU8rL
mfx57KYsvkkATxLGWlMilDRuAiWPn6jFN1lTmSWz6PzsueSOPpkIT5I5iPMk
w+k8PMkF4UnSRo+m/MlT6NKs2Vq/eRsVRe8iI+ldRAS9Dwuj9+DK++AQ+gFc
+QlM+dnbm34BTz6AJ78fO0a/uR6gD/AnP9nZ0bvVq+nNosX03cyZ9IprSguW
PBw6DCwZRDf6GVhyhdcnw6PkdepMmR06UCrYwnPSIr76ilK+bkRJvB4HLDHU
p29uqCktWBIPlsQpLIkWLOE5axWN5RhjiT7W4TjnJNeFgdwhLU8i6vo6Cm9i
iiXmvgbNwZCKVBOWVIUVDZ0vzA8p9fWZXNdPMMVTYYnMwwYoPiVc509M+ZJK
xzc2UygVz/kxc/I0wZN5Wo1Grql2Fp7kAjzJBXiS7NFj6OyEiXRt6VIqWrNG
6zf/iYujd7Gx9D46ht5HRtH7iEh6Hx5BP4ApPwYG0c9+/vTB149+O+NFf5w8
SX8cPkwfnPbSz9u20/u16+jt4iX0etYsesV7XXBt+lGj6OGwYXR30CC6CZZw
faSrXN+A97ro3IWyO3akdLAkqW07ikWMEwyWxMCXxIElLPYl8dp+5M0ogTki
xN4kWvUmFbCkorFhfZzD9b0jhSfZK2IZexHb7FJUnX07LU2W1PdqkwUNgS3G
+GFMduI+xuPGvJbU3bpsrEeuHVbjnhgdS+KNsKQyY8Ey75o7YxZinLl0cf5C
8uvUiaK7daPsUaMpDbHOWfT1C1wveuEibW++6+vXUwm8BfPkXUIivQNT3sfE
wqOAJ/ApP+LxZ/iUX4OD6Td4lN8R8/xx5gz9fhTeZP9++gVxzg8bNtLbJUvo
+9lz6NspYMl4A0seDRtuYEn//nSdWcK1UXAs58CSnI6dtLrSqWBJYps2FNWq
NQX8+98GjghvEv7V19qeoMySeIUlMbo4R/JEzxJT80wkT9S1fqdFnHNKyZM4
6fyImn9tyPdDSzne+mo7S/muTHmQykjW12Sm2PG8A6uytX8h1n/Oo6ixjnFf
UjY/zWjeFX4kk2McsOTsrDmUP3cBXVq8jFKHDqUcxB1nRZ7kEuKfAsQkhStX
UdH6DVS8cRPdtNtqiHXi4+ltLDxKDPxJdDT9FBVNv4AnH+BTfoNP+T0gkH73
8aXf3d3pd1dX+sDz2DZtpndLl9GbOXPpO8RPL+T+W2DJPcRXt8ASroVSoO11
0Z3yu3ShXDAuCyxJb9dOq1Mfz7WcwBJevxcDlkR+8YW2V05i7z4mWaJ6E70v
MTYurN9jWOZhOWci99yJUsZu1LHgyuRFLD2mt5TjsYTjqK/vqSb8qEg8V5Ln
SPL+KzyG7GtdVm9NXUus+hX9Wj451zVZzJtPBUvSwJJ0wZKsaTMpDyw5N2ce
5S9aQpGDh1Cm2Dc4x2YSXV2wkAqXLaOiFSu1PYOLVq8BUzbSdcmTuHj6D8c7
0I9gyk9RUfQr+PIbHn8PDaPf/f3pd86bHDhIvzk40s9bttD75Svozbx5YMlU
w5458CWPwZL7YAnXQykBE6717EmXuzNLump7+mULlqSCJYlgSRxiHI5zosGS
aPgS3nsrqRyWRJlgiepNAq3+nDPxFeM6vkquRM4r4fOXc0jk3LSGct02lL5r
zuOor++prvhhTLw2bId12fxrnqvC48tcA0PWapP1UAI01tjAx9hQJBQ7gesM
TNLWBSeDJck2zJMplIYYJ33KdMoAT7Knz6I8+I+z8xbQuWUrKBr9Om7gIEqb
MJEuzZ1H1+YvoEIw5TL8ScGy5VS4Zi1dh7+4vs0wn+cdeMIseQ+W/BAeST+z
N4mKod/w+FtgEP126hRiHBf6zd6efrW1ox/hcd7gc19NnkzPxo6lxyNHGfYY
BkvugCU3xF4XV7pzzsTAkpxvOlBGu/YaS5LBkgTee1jkTGJ5zLhP38qxpHQ8
52OWSE8iH/3E+HCpL5E5VyvDHFf2JByfbqmHXEh9eBhL6buWcAy1+T2Zem9d
epDKiGvqyLqycn9AJyN8OQGGeEDe4Ig/FASWhIMl0VCiDfNkCqXAm6QKnqSz
P5k5m7Jnz6NceJO85Svp/MbNFAGPkoRYJ33aDMqdPYfOo/9fWriQCpYvp2tr
11Hh5i10ffsOurl2rRbnvAsJpfdgx0/BwRpPfgVPPvgH0IfjbvRh7z76YGtL
v+F3flzFLJlLLyba0NMxBpZw7vX+YMmSvqVjOZx/PdepM+V06ECZ7dtTGliS
0ro1vEkrjSecL0nB+5klhhinTylL5JwjUywJszJSd0AwRJ1Pzwzh+WjqXsCW
MJepNvhiKQz5VKX/fszJD1NaBWasU9iirh3bB464QofAkaPQCbDEA/IFSwLh
TcLBkxjwJAlKBlNSwJRUZsrMOZQBnqTNX0QZS1dQ1so1FIYYJA7+JH3yFMqd
PoPOz5lDFxctosuIey6vXEmX4VG4X70JCqK33j70zsuL3nl7a+PDPwYE0q9e
3vTbocP0Acz5sG4d/QRP8m7JEvp2xgx6Nn48PeGabMN5THgofMkgLcYp5pqy
vG+ONi7cTdvvIptZInwJsySj/0BK573U+/YzyhI+Jq6LfURhiX6Nn/Qkct6r
v8IQf+FFZB0tdV/xaAvgSGWvXVOc+B9D6k96D2LuOLYirQRD1kC8JynHRFs1
72JDeyAn8MRlArNlEh0DT05BZ6AAKAyKhRLAmDj8PH7SVEqZM59SFyyi9CXL
KWvFaspZu57i4R9Sra0pc9w4yrKeQFk2kyhnylTKnTGTzkHcd78/cZJew4Pw
PNgXx4/T6yNH6N2hQ/TLnj3086rV9A4x0mt4m9ezZtMr/O6z8daCJYYxnNv9
+lMJOFLAte57WGn173O7dKWcToY5Jmnt2lEm7wU2YBClgyVpeD+zhOfYJUIJ
YEk8pPmRtu0oDCwJ5Tr7eF5ad6CnnKvWi4KUOEYd/01S1oYmGWGJJXiSqsjS
87yfqqriQRrCd8N8MdQItAFfbOBfbMgechTexWXMeHKDvCAeK4oGT2ImT6PY
6TMpAR4laf5CSlq8lJKWrTRo6XLDcyhh4CBKHDKUUgcNpiz0b+5jTxyd6IGD
A93ftZsebt1KLzZuolfLltO3s2fTc/DjiY0NPQGTHnGeBLo/YiTd4fqxAwbS
DXChoHdvyu7ShbJ5zTI4kgqOpIIjWYi30pkhYAk/poElqWBJMu+DDI7EQ3GS
I+2YI+00jrC4ZjAzJBQKAUPkGhwfkUfldXnqvgTJOpaoPGloHNFfq+Vdv5Z6
DTck1VYepCF9NxUdn7ZeCLFQ0NTpFDJjNoXOnkuhM/EIxoRNnUFh4E0YYqQo
+JjYacyduZQ0ay7dRPxzbe1aurxiBV1CLHNv6za6u3ot3Vm8hG4vWEi3R42m
Eq5pP2yYoaY9VAwmFfEcNXidAvzdy+N4D+OxdBbv5X2Ns4YOp/TBBmYlgSFJ
iG14b8GEPv0Qz8CL4DEOLOF+HoY4KBQsCQZLAsGRQMREvm0MPDnDe4Wt31y6
57y676ueJXqeNFSWVPU6/J+HqbrqK49qad9LdY6B5+bKfXDlvpWytr6nHDsC
VwKtDblerjldtH0nXd9iR9fBkSJ4mKJ5C6ho7nwqBI8uT5lGV6CCqdOoEKwq
gl8pBEeuTJhIF8GR82PGUR44kgWOpA8bQSlDhlHSoCGUxD6I/Q88TGD/ARQI
XxIAX+LfsyzP6gluhIy1pnDON+NYwjj3DM/F4p+nCY5UhyexDYgjtX2tWdp1
bAmyhDxqfX8v9f3987gS99ucDRspAXzImTefzs2dRzngSNpknr9vQ+kTbSgD
/MjgcSK8loz/3zziRiWHjtF118N0bf9BurrXlS45OtNFh32Ub+9E53c70rld
jnR2lwPl7dxDuTvsKWf7bsretkv7e1ETJ1PkxEkUAY4EgycsyRHWsWqwROVJ
Q/Ak9fk9/xX5Yu6xXHN9L+b8frUa1FFxdDcwlO56+9MdTx8qcT9NhYePUyHz
4tBxKjnspvHj1lF3TTfws5KDR6lIsOTKXheNJRf27P0TR/LAkdzt9uDIboUj
kylUMER6ElYoC54pUHgTjnOkKuKIVJyFc8RS+nJNYyRLOAdjsnR+VOd7qcrv
mPv4ZdzBHLkhOHJ1/yG65nJI40XxgSNUDHZIXcfzIhfhSfa50mWn/TpP4kBn
FY6wJ5EcCRs3gUKhCCW2KWWJdZlCrA17FkpfEgeesGIV6TkSb8G1cSzlu67N
a9lSvE5D8CC1+Z3oXzf38enFfZA5UgSOXAEjLsNrMCeuOR+ADoIbhzR2FLDw
GkvvR87udBD6M0fCwQ/miIxtwnVeRPJDitcfHBEsMRXfxOjYYokcsdTvuybX
ckVzYeqDL586P2rj+zCnpD+5AI9xCbrs4EyXwQr2HcyWS3jUxLkRJT/CPiRv
xx6NHVLMkBwR14RKhkycVJprDTXiQ0LEGqYgRfz7plii5ltlbGMp4xuW+h2b
qx1qqz3+xw/zc7yy0vZCh7c4Dz6w12BW5LPvYHEMw+zgOKY0lnEQ+ZBdpUrd
ZEcpmww1D5gdYUZyIqE6DxJkXVZrKkB5DNDxpLq51vpqa0v5Hi1V1fke/udB
qnc9WQJfpD/h8Zdc9hvaWIwcjynzHBo7tu6irK07KdNuByVv2KKpdD/5CZIV
BgVp+th3qPzgWjB+Yu0jy0eshZSfx3XH5V6ypXsu1SCuqc22/h9Dqi9T38Ff
nR91cT2Ziy/cTzOZExordlIGeJFhy9pO6SInyv4gVoy1pIq+rXoKY3yQj95C
XmL+i4dYS63OkTlmbdjrWa077q/sY1DbOZKqtvX/GFK7Uj2IJfn1+pC54/G6
bm/uqzHcX8V+JOwFosT+JAHgRyAUqfRtuR+z5IKqUwonTlob6l6eUObVHRNz
6w5XUB+gvnOspnIwf5Vr3Fh71ObnVSaG+ZTb3hLPpy7b2tTeJFI8783FBAPs
6qF2iLna+FO8tis699r6vJrGMA25/RvacddFPqChnHtdtWV9tbclqTbPpS7z
qA2h/S31uOqjvT+lczfHd98Qru/6+O7NlUe1hLY39983Z3v/lc69ojapr/Y2
9/nWxblb4lhufba9JX635m7rv1KbWFIuvb6Po7YZYu7vsrptbynt2FD1V84H
WPL3X19tXtPPtUQPUp9t/in2ieq2WW21u7nPqbrHb+7jqEmb18b3V53f/ZT4
UdU2b8jXT120S320uaW2syUfW320e03P/6/Aj6q09ad0LVWlDSyh7f9qbWDO
c7Wk9m/Iqqjt/grtbInnVd/tboltYO72/qu3SVXbrjba3dznYo42MOfx/i+n
XvvtWt/t3tBVV23RkNq6IRxjfbT9p9QGNW27+mz3hi5znKultbOlHIe52/6v
1A71fS1Y0vX+KZ+XuThuSW3wV2t7S1N9nvv/A+Bscb4=
    "], {{0, 113}, {275, 0}}, {0,
     255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSizeRaw->{275, 113},
  PlotRange->{{0, 275}, {0, 113}}]], "Output",
 CellChangeTimes->{3.7320138104213*^9},
 CellID->1252623432,ExpressionUUID->"988b20d2-fcc2-44f0-9631-72f77a61ec5b"]
}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["Example 2: Grasshopper Component With One Real Parameter", "Section",
 CellChangeTimes->{{3.622416571847231*^9, 3.6224165886322927`*^9}, {
  3.7320138904569483`*^9, 3.7320138987693195`*^9}, {3.7372032364595633`*^9, 
  3.7372032413024426`*^9}},
 CellID->1059830083,ExpressionUUID->"a1bb6c26-bd24-47a0-a8f1-c602ac62eccc"],

Cell[CellGroupData[{

Cell["\<\
Evaluate this code to install a new \"UVSurface1\" component in Grasshopper. \
The inputs to the component will be a Wolfram Language expression that yields \
a grid of points and a real parameter. The parameter is substituted for \
occurrences of # in the input expression. The output is a NURBS surface in \
Rhino that interpolates the points:\
\>", "Text",
 CellChangeTimes->{{3.6224122419387493`*^9, 3.6224122640114965`*^9}, {
  3.7320132475827627`*^9, 3.7320132479274416`*^9}, {3.732467697095112*^9, 
  3.7324676996269617`*^9}, {3.7372032689895253`*^9, 3.7372033151614857`*^9}, {
  3.7372035393273287`*^9, 3.7372035941860247`*^9}},
 CellID->1934277,ExpressionUUID->"06816176-280e-43ec-a096-574bc1c83935"],

Cell[BoxData[{
 RowBox[{
  RowBox[{
   RowBox[{
    RowBox[{"UVSurface1", "[", 
     RowBox[{"ptsExpr_String", ",", " ", "x_"}], "]"}], ":=", 
    "\[IndentingNewLine]", 
    RowBox[{"Block", "[", 
     RowBox[{
      RowBox[{"{", 
       RowBox[{"nu", ",", "nv", ",", "pts", ",", "obj"}], "}"}], ",", 
      "\[IndentingNewLine]", 
      RowBox[{
       RowBox[{
       "LoadNETType", "[", "\"\<Rhino.Geometry.NurbsSurface\>\"", "]"}], ";", 
       "\[IndentingNewLine]", 
       RowBox[{
       "LoadNETType", "[", "\"\<Wolfram.Rhino.WolframScriptingPlugIn\>\"", 
        "]"}], ";", "\[IndentingNewLine]", 
       RowBox[{"pts", "=", 
        RowBox[{
         RowBox[{"ToExpression", "[", 
          RowBox[{"\"\<(\>\"", "<>", "ptsExpr", "<>", "\"\<)&\>\""}], "]"}], 
         "[", "x", "]"}]}], ";", "\[IndentingNewLine]", 
       RowBox[{
        RowBox[{"{", 
         RowBox[{"nu", ",", "nv"}], "}"}], " ", "=", " ", 
        RowBox[{"Take", "[", 
         RowBox[{
          RowBox[{"Dimensions", "[", "pts", "]"}], ",", "2"}], "]"}]}], ";", 
       "\[IndentingNewLine]", 
       RowBox[{"obj", "=", 
        RowBox[{
        "NurbsSurface`CreateThroughPoints", "[", "\[IndentingNewLine]", 
         RowBox[{
          RowBox[{"ToRhino", "[", 
           RowBox[{
            RowBox[{"N", "[", 
             RowBox[{"Re", "[", 
              RowBox[{"Flatten", "[", 
               RowBox[{"pts", ",", "1"}], "]"}], "]"}], "]"}], ",", 
            "\"\<Rhino.Geometry.Point3d[]\>\""}], "]"}], ",", 
          "\[IndentingNewLine]", "nu", ",", "nv", ",", " ", "3", ",", " ", 
          "3", ",", " ", "False", ",", "False"}], "\[IndentingNewLine]", 
         "]"}]}]}]}], "\[IndentingNewLine]", "]"}]}], ";"}], 
  "\[IndentingNewLine]"}], "\[IndentingNewLine]", 
 RowBox[{"GHDeploy", "[", 
  RowBox[{
  "\"\<UVSurface1\>\"", ",", " ", "UVSurface1", ",", " ", 
   "\[IndentingNewLine]", 
   RowBox[{"{", "\[IndentingNewLine]", 
    RowBox[{
     RowBox[{"{", 
      RowBox[{
      "\"\<Any\>\"", ",", " ", "\"\<Expr\>\"", ",", " ", "\"\<E\>\"", ",", 
       "\"\<WL Expr that returns a list of {x, y, z} points\>\"", ",", "  ", 
       "Item"}], "}"}], ",", "\[IndentingNewLine]", 
     RowBox[{"{", 
      RowBox[{
      "\"\<Number\>\"", ",", " ", "\"\<Argument\>\"", ",", "\"\<A\>\"", ",", 
       " ", "\"\<Argument that replaces # in the Expr input\>\"", ",", " ", 
       "Item"}], "}"}]}], "\[IndentingNewLine]", "}"}], ",", 
   "\[IndentingNewLine]", 
   RowBox[{"{", "\[IndentingNewLine]", 
    RowBox[{"{", 
     RowBox[{
     "\"\<Any\>\"", ",", " ", "\"\<Mesh\>\"", ",", " ", "\"\<M\>\"", ",", 
      "\"\<Mesh surface\>\"", ",", " ", "Item"}], "}"}], 
    "\[IndentingNewLine]", "}"}], ",", "\[IndentingNewLine]", 
   RowBox[{"Icon", "\[Rule]", 
    RowBox[{"Graphics3D", "[", 
     RowBox[{
      RowBox[{"{", 
       RowBox[{"Blue", ",", 
        RowBox[{"Sphere", "[", "]"}]}], "}"}], ",", 
      RowBox[{"ImageSize", "\[Rule]", 
       RowBox[{"24", 
        RowBox[{"{", 
         RowBox[{"1", ",", "1"}], "}"}]}]}], ",", 
      RowBox[{"Boxed", "\[Rule]", "False"}], ",", 
      RowBox[{"Background", "\[Rule]", "None"}]}], "]"}]}]}], 
  "\[IndentingNewLine]", "]"}]}], "Input",
 CellChangeTimes->{{3.6223980619296675`*^9, 3.6223981004275055`*^9}, {
   3.622399615260711*^9, 3.62239962271689*^9}, {3.6224130956615906`*^9, 
   3.6224131215721273`*^9}, {3.629212461742575*^9, 3.6292124623509674`*^9}, {
   3.629222353825389*^9, 3.629222422917539*^9}, {3.6292224655674305`*^9, 
   3.6292225405394077`*^9}, {3.629222800149604*^9, 3.6292229044962697`*^9}, {
   3.6292232564974527`*^9, 3.6292232795534973`*^9}, {3.629223645130994*^9, 
   3.629223654600012*^9}, {3.629223915307572*^9, 3.6292239174290495`*^9}, {
   3.6292243165958014`*^9, 3.6292243193101664`*^9}, {3.629224396076188*^9, 
   3.629224396325782*^9}, {3.6292244902820415`*^9, 3.629224506411924*^9}, {
   3.629224618618927*^9, 3.6292246274639006`*^9}, {3.629238129941639*^9, 
   3.629238132078784*^9}, {3.6292382499957757`*^9, 3.629238261601878*^9}, {
   3.6292384197671995`*^9, 3.6292384514961815`*^9}, {3.629240283922165*^9, 
   3.629240286730147*^9}, {3.6292405252484684`*^9, 3.6292405274480124`*^9}, {
   3.629240601545788*^9, 3.6292406058356504`*^9}, 3.7320138497455225`*^9, {
   3.7320139222381897`*^9, 3.7320139271102085`*^9}, {3.732645655048479*^9, 
   3.732645667270791*^9}, {3.7328796619948664`*^9, 3.732879715881772*^9}, {
   3.7328812582383595`*^9, 3.732881285667104*^9}, {3.733048087402403*^9, 
   3.7330480920336113`*^9}, {3.7330498587513657`*^9, 3.73304986145547*^9}, {
   3.737207227977775*^9, 3.7372072371330967`*^9}, {3.737227232397414*^9, 
   3.737227254497838*^9}},
 CellLabel->"In[1]:=",
 CellID->724139662,ExpressionUUID->"dd485145-636b-407c-8a97-ce3a781fa7bc"]
}, Open  ]],

Cell[TextData[{
 "If Grasshopper is not yet running, start it by executing Grasshopper in \
Rhino. If Grasshopper is already running, restart Rhino, evaluate \
WolframConnect, and restart Grasshopper to load the new component, which is \
in the Wolfram tab with a blue sphere icon (",
 Cell[BoxData[
  GraphicsBox[
   TagBox[RasterBox[CompressedData["
1:eJztk00rhFEUx3+xsbTwBXwLWyspCz1Y2ZjJY1h4pp4hKTpZK1aykIWSlJ2h
KM1iWIyXrLyVlyiEDEVeUl6OwyzdZ2zldO/t3lu/+7//c8+tjCe9thIgVaaD
F+upDsNYb0O5LpqCVEci8Ftrgy4/4YdV8VLdrPjun/P3vxUiUyJpEfktBX0w
BmnIQFZkqzhwGroNnIdV2INjOIH1KHACWmAQZmAZduAcbuEe8iLjDhbqoRNG
YBbW4BCu4RFe4QWunKwHIYzCHGzAEdzAsxYCvMFdlG6yoKtmD0z3yXQj2Tpo
h2Hzu2J+T83vg7W8k62BZhgATdqiXXsfztQpXIpcONiCtKZrCPSxlixj27AL
myIZN2t4o34su/mklceCVohILhL8CistNd6vJ4hki6T+46f4AEFPz2c=
     "], {{0, 20}, {
     20, 0}}, {0, 255},
     ColorFunction->RGBColor],
    BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
    Selectable->False],
   DefaultBaseStyle->"ImageGraphics",
   ImageSizeRaw->{20, 20},
   PlotRange->{{0, 20}, {0, 20}}]],
  CellChangeTimes->{3.7320132932547274`*^9},ExpressionUUID->
  "fb587dea-526c-44fa-abce-25465b959fec"],
 ")."
}], "Text",
 CellChangeTimes->{{3.731928904786121*^9, 3.731928928620473*^9}, {
   3.732466018464877*^9, 3.7324660440023365`*^9}, {3.7324660791169224`*^9, 
   3.7324660825239625`*^9}, 3.7324678247303996`*^9},
 CellID->825471685,ExpressionUUID->"6cdcd80c-cb30-409b-9cdb-3842cfe791b1"],

Cell[CellGroupData[{

Cell["Drag the UVSurface1 component to the canvas:", "Text",
 CellChangeTimes->{{3.7318617923192053`*^9, 3.7318618175415463`*^9}, 
   3.731861907200734*^9, 3.732013407237331*^9, 3.7324678316528807`*^9},
 CellID->958250175,ExpressionUUID->"363a2caf-87a1-4d1e-9600-8cea6da6e4b2"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztnQdcFFf398nzz6OmmPgkaLB3JcSCvaECShNEehOUKoiKKCKIBWuMHYhi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    "], {{0, 281}, {247, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSize->{123., Automatic},
  ImageSizeRaw->{247, 281},
  PlotRange->{{0, 247}, {0, 281}}]], "Input",
 CellChangeTimes->{3.7372036317938423`*^9},
 CellID->170182009,ExpressionUUID->"59b6d02a-4b16-4f99-9d15-a51aff8194af"]
}, Open  ]],

Cell[CellGroupData[{

Cell["\<\
Connect a panel to the \[OpenCurlyDoubleQuote]expr\[CloseCurlyDoubleQuote] \
input of the component and enter an expression that evaluates to an array of \
{x, y, x} coordinates and contains hashes (#) in the positions of a \
parameter. Create a slider by double-clicking the canvas and entering, for \
example -1<0.<1 and connect the slider to the \[OpenCurlyDoubleQuote]x\
\[CloseCurlyDoubleQuote] input:\
\>", "Text",
 CellChangeTimes->{{3.6224129533151073`*^9, 3.6224129887576027`*^9}, {
  3.6224138325534983`*^9, 3.622413858214512*^9}, {3.7318619697687283`*^9, 
  3.731861974022107*^9}, {3.7319261312471123`*^9, 3.7319262854069223`*^9}, {
  3.732016201879154*^9, 3.732016228675056*^9}, {3.732016326702717*^9, 
  3.7320163269391594`*^9}, {3.732467850370954*^9, 3.7324678521361437`*^9}},
 CellID->1089422699,ExpressionUUID->"8834a93b-e119-40d7-9d18-3cb6cb9c7762"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztvQd4VVW6/8//3t8F5rmPd3yuzozOjMNwVQQcsYIoICCd0EvoLSSUBFKA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    "], {{0, 289}, {615, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSize->{309., Automatic},
  ImageSizeRaw->{615, 289},
  PlotRange->{{0, 615}, {0, 289}}]], "Input",
 CellChangeTimes->{3.737203725547557*^9},
 CellID->60181817,ExpressionUUID->"0bdd6e30-2b9c-47e7-8bdd-ecb9cc84175a"]
}, Open  ]],

Cell["\<\
You should see the surface described by the point array in Rhino. Drag the \
slider to change the shape of the surface. Replace the expression in the \
input panel with one of the following to make a different surface.\
\>", "Text",
 CellChangeTimes->{{3.732013624098295*^9, 3.7320136490662327`*^9}, 
   3.7320138268575516`*^9, {3.732016951113455*^9, 3.73201695930231*^9}, {
   3.737203786844294*^9, 3.7372037891256003`*^9}},
 CellID->385298007,ExpressionUUID->"3f3f0cbf-014b-415f-95ce-8554727777b9"],

Cell[CellGroupData[{

Cell[TextData[StyleBox["Saddle Surface",
 FontWeight->"Bold"]], "Text",
 CellChangeTimes->{{3.629240822186654*^9, 3.6292408260553303`*^9}},
 CellID->1040407944,ExpressionUUID->"28975e43-863c-440e-bcb3-48a5fdf031fd"],

Cell[BoxData[
 RowBox[{"Table", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"u", ",", "v", ",", 
     RowBox[{"#", " ", "u", " ", "v"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"u", ",", 
     RowBox[{"-", "1"}], ",", "1", ",", ".1"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"v", ",", 
     RowBox[{"-", "1"}], ",", "1", ",", ".1"}], "}"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.629240801345722*^9, 3.629240801345722*^9}},
 CellID->1324460934,ExpressionUUID->"7b067693-874f-4948-8430-4dfbae858b0f"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"(*", " ", 
  RowBox[{
   RowBox[{"-", "1"}], " ", "<", " ", "0.", " ", "<", " ", "1"}], " ", 
  "*)"}]], "Input",
 CellChangeTimes->{{3.6292408075543237`*^9, 3.629240815307275*^9}},
 CellID->1546916583,ExpressionUUID->"cecac9f4-12c7-4174-ae70-7f4d5592945a"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztndlvHUd2xgU7MwgGA0wGGMxbAgRIHj0zQR4SBIMAeQwMBJhJ/BRvXC55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    "], {{0, 161}, {198, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSizeRaw->{198, 161},
  PlotRange->{{0, 198}, {0, 161}}]], "Output",
 CellChangeTimes->{3.7320169379091053`*^9},
 CellID->1589979899,ExpressionUUID->"04c5027e-56cf-493c-b78e-84ccebc79656"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[StyleBox["Torus",
 FontWeight->"Bold"]], "Text",
 CellChangeTimes->{{3.629240822186654*^9, 3.6292408260553303`*^9}, {
  3.6292420994111757`*^9, 3.629242100003976*^9}},
 CellID->1653142872,ExpressionUUID->"3db21252-0a9f-49f0-84e4-caa8a0bd9236"],

Cell[BoxData[
 RowBox[{"Table", "[", 
  RowBox[{
   RowBox[{"Evaluate", "[", 
    RowBox[{
     RowBox[{"RotationTransform", "[", 
      RowBox[{"v", ",", 
       RowBox[{"{", 
        RowBox[{"0", ",", "0", ",", "1"}], "}"}], ",", 
       RowBox[{"{", 
        RowBox[{"0", ",", "0", ",", "0"}], "}"}]}], "]"}], "@", 
     RowBox[{"{", 
      RowBox[{
       RowBox[{"#", "+", 
        RowBox[{"Cos", "[", "u", "]"}]}], ",", "0", ",", 
       RowBox[{"Sin", "[", "u", "]"}]}], "}"}]}], "]"}], ",", 
   RowBox[{"{", 
    RowBox[{"u", ",", "0.", ",", 
     RowBox[{"2", " ", "Pi"}], ",", 
     RowBox[{"Pi", "/", "16"}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"v", ",", "0.", ",", 
     RowBox[{"2", " ", "Pi"}], ",", 
     RowBox[{"Pi", "/", "16"}]}], "}"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.6292420607543373`*^9, 3.6292420607543373`*^9}},
 CellID->228824818,ExpressionUUID->"c0b9ef90-5a1c-4579-813b-46f9aad03d4e"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"(*", " ", 
  RowBox[{"0", " ", "<", " ", "1.", " ", "<", " ", "4"}], " ", 
  "*)"}]], "Input",
 CellChangeTimes->{{3.6292420749191756`*^9, 3.6292420791779757`*^9}},
 CellID->1862987996,ExpressionUUID->"e61eacd5-2d98-4447-9075-2f69254122ed"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztnfd3k0mX53vC2d3Zs2FmzoQ9+07Y2XnfnnzOvBOWbhC2oRtocs40GZNz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    "], {{0, 140}, {
    215, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSizeRaw->{215, 140},
  PlotRange->{{0, 215}, {0, 140}}]], "Output",
 CellChangeTimes->{3.7320170504217267`*^9},
 CellID->927675512,ExpressionUUID->"c17ea792-c8c7-4b73-a37d-6e2544d738b3"]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell[TextData[StyleBox["Wavy Surface",
 FontWeight->"Bold"]], "Text",
 CellChangeTimes->{{3.629240822186654*^9, 3.6292408260553303`*^9}, {
  3.6292420994111757`*^9, 3.629242100003976*^9}, {3.6292436001543617`*^9, 
  3.629243603165104*^9}},
 CellID->711052964,ExpressionUUID->"b587af78-a791-422f-9a90-b5f89c85c787"],

Cell[BoxData[
 RowBox[{"Table", "[", 
  RowBox[{
   RowBox[{"{", 
    RowBox[{"u", ",", "v", ",", 
     RowBox[{"#", " ", 
      RowBox[{"Sin", "[", "u", "]"}], 
      RowBox[{"Sin", "[", "v", "]"}]}]}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"u", ",", 
     RowBox[{"-", "3"}], ",", "3", ",", ".2"}], "}"}], ",", 
   RowBox[{"{", 
    RowBox[{"v", ",", 
     RowBox[{"-", "3"}], ",", "3", ",", ".2"}], "}"}]}], "]"}]], "Input",
 CellChangeTimes->{{3.629243585646641*^9, 3.6292435856622405`*^9}},
 CellID->2068154040,ExpressionUUID->"0bd42d26-219e-4411-adf4-0635329be8bb"],

Cell[CellGroupData[{

Cell[BoxData[
 RowBox[{"(*", " ", 
  RowBox[{
   RowBox[{"-", "2"}], "<", "0.", "<", "2"}], " ", "*)"}]], "Input",
 CellChangeTimes->{{3.6292435882205915`*^9, 3.629243593072098*^9}, {
  3.73201708657793*^9, 3.7320170887653203`*^9}},
 CellID->294639938,ExpressionUUID->"f184dfcd-bdb0-4aa7-a48e-e10cc44ad7d4"],

Cell[BoxData[
 GraphicsBox[
  TagBox[RasterBox[CompressedData["
1:eJztvfdX3Ee65z93Zu7Ze/fM7t5z9u6es/udO3NnRo4zztlWlmVLlpyzLVsB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    "], {{0, 162}, {219, 0}}, {0, 255},
    ColorFunction->RGBColor],
   BoxForm`ImageTag["Byte", ColorSpace -> "RGB", Interleaving -> True],
   Selectable->False],
  DefaultBaseStyle->"ImageGraphics",
  ImageSizeRaw->{219, 162},
  PlotRange->{{0, 219}, {0, 162}}]], "Output",
 CellChangeTimes->{3.732017112968707*^9},
 CellID->2063631631,ExpressionUUID->"66b32cfc-a0c4-4c94-a6b5-42a89bfd0765"]
}, Open  ]]
}, Open  ]]
}, Open  ]],

Cell[CellGroupData[{

Cell["More About", "TutorialMoreAboutSection",
 CellID->23220180,ExpressionUUID->"8f970ab7-54b5-4756-b7ad-a58dffd01413"],

Cell["XXXX", "TutorialMoreAbout",
 CellID->1567025153,ExpressionUUID->"6e59c1da-e478-42c3-a2ec-9f0cd4ac79be"]
}, Open  ]],

Cell[CellGroupData[{

Cell["Related Tutorials", "RelatedTutorialsSection",
 CellID->415694126,ExpressionUUID->"6ee67904-049e-429a-b82d-78776264fae5"],

Cell[TextData[ButtonBox["How to Use the Wolfram Grasshopper Components",
 BaseStyle->"Link",
 ButtonData->
  "paclet:RhinoLink/tutorial/UsingWolframComponents"]], "RelatedTutorials",
 CellChangeTimes->{{3.736791430265728*^9, 3.736791433255972*^9}},
 CellID->1609542,ExpressionUUID->"5189773b-75da-41a7-a57d-8e2f833a3dd5"],

Cell[TextData[ButtonBox["Use NETLink to Examine and Create Objects in Rhino",
 BaseStyle->"Link",
 ButtonData->
  "paclet:RhinoLink/tutorial/ManualInteractionWithRhinoObjects"]], \
"RelatedTutorials",
 CellChangeTimes->{{3.736791430265728*^9, 3.736791433255972*^9}},
 CellID->292544750,ExpressionUUID->"655eb147-a22c-4580-86e5-0497cd5f4e76"],

Cell[TextData[ButtonBox["Operate on Wolfram Language Meshes Using Rhino",
 BaseStyle->"Link",
 ButtonData->
  "paclet:RhinoLink/tutorial/UsingRhinoMeshOperations"]], "RelatedTutorials",
 CellChangeTimes->{{3.736791430265728*^9, 3.736791433255972*^9}},
 CellID->422280156,ExpressionUUID->"69b88c76-0666-4e6d-ad47-f0c80d5b9e1a"],

Cell[TextData[ButtonBox["Control a Parametric Surface in Rhino with a \
Manipulate Interface in Mathematica",
 BaseStyle->"Link",
 ButtonData->
  "paclet:RhinoLink/tutorial/InteractiveSurface"]], "RelatedTutorials",
 CellChangeTimes->{{3.736791430265728*^9, 3.736791433255972*^9}},
 CellID->740172588,ExpressionUUID->"2a1f6b6e-d89d-415a-912c-1dee1bda7aee"],

Cell[TextData[ButtonBox["Create Box Structures in Rhino with an Interface in \
Mathematica",
 BaseStyle->"Link",
 ButtonData->"paclet:RhinoLink/tutorial/BoxDesignWidget"]], "RelatedTutorials",\

 CellChangeTimes->{{3.736791430265728*^9, 3.736791433255972*^9}},
 CellID->28768034,ExpressionUUID->"9fe639d6-5050-4ad1-9ffb-02cd47d1947b"],

Cell[TextData[ButtonBox["Make a Grasshopper Component that Translates \
Graphics3D Output to Rhino Meshes",
 BaseStyle->"Link",
 ButtonData->
  "paclet:RhinoLink/tutorial/Graphics3DComponent"]], "RelatedTutorials",
 CellChangeTimes->{{3.736791430265728*^9, 3.736791433255972*^9}},
 CellID->251143726,ExpressionUUID->"b9a1a623-c779-48f5-924b-b94de4cdd819"],

Cell[TextData[ButtonBox["Make a Grasshopper Component that Covers a Surface \
of Revolution with Phyllotaxically-Arranged Points",
 BaseStyle->"Link",
 ButtonData->
  "paclet:RhinoLink/tutorial/SpiralPhyllotaxicSurfaceComponent"]], \
"RelatedTutorials",
 CellChangeTimes->{{3.736791430265728*^9, 3.736791433255972*^9}},
 CellID->71800016,ExpressionUUID->"a8efee66-49f3-4066-908a-98516dc15f30"]
}, Open  ]],

Cell[CellGroupData[{

Cell["Related Wolfram Education Group Courses", "TutorialRelatedLinksSection",
 CellID->415694148,ExpressionUUID->"1d3fe07f-6c0e-4e26-942b-4dea0008a6ac"],

Cell["XXXX", "TutorialRelatedLinks",
 CellID->415694149,ExpressionUUID->"2d487ec3-17d7-482f-8b25-0dfb216b8e73"]
}, Open  ]]
}, Open  ]]
},
Evaluator->"RhinoAttach",
WindowSize->{700, 770},
WindowMargins->{{339, Automatic}, {12, Automatic}},
FrontEndVersion->"11.3 for Microsoft Windows (64-bit) (March 6, 2018)",
StyleDefinitions->FrontEnd`FileName[{"Wolfram"}, "TutorialPageStyles.nb", 
  CharacterEncoding -> "UTF-8"]
]
(* End of Notebook Content *)

(* Internal cache information *)
(*CellTagsOutline
CellTagsIndex->{}
*)
(*CellTagsIndex
CellTagsIndex->{}
*)
(*NotebookFileOutline
Notebook[{
Cell[558, 20, 667, 15, 22, "History",ExpressionUUID->"d459b4ec-48cd-42fc-980b-4019e0e9ca8b",
 CellID->1247902091],
Cell[CellGroupData[{
Cell[1250, 39, 123, 1, 27, "CategorizationSection",ExpressionUUID->"34a850ec-c663-49ae-9dd6-6e3ee6c65b33",
 CellID->1122911449],
Cell[1376, 42, 136, 2, 70, "Categorization",ExpressionUUID->"36f21afe-3554-4e9d-b5ac-ea6ea006b26a",
 CellID->686433507],
Cell[1515, 46, 137, 2, 70, "Categorization",ExpressionUUID->"a123f012-3876-4b5f-9b82-b84e80a8bde4",
 CellID->605800465],
Cell[1655, 50, 134, 2, 70, "Categorization",ExpressionUUID->"3871fc17-25aa-4512-ae91-4d989a201dba",
 CellID->468444828],
Cell[1792, 54, 204, 4, 70, "Categorization",ExpressionUUID->"56a8d591-d331-4cf7-a66c-58ccfb3ca727"]
}, Closed]],
Cell[CellGroupData[{
Cell[2033, 63, 111, 1, 17, "KeywordsSection",ExpressionUUID->"86d7b575-4215-4a54-b08b-3778b3dfdb7f",
 CellID->1427428552],
Cell[2147, 66, 100, 1, 70, "Keywords",ExpressionUUID->"e493c215-457d-47d8-aa6c-0dbf038eb7a3",
 CellID->1251852827]
}, Closed]],
Cell[CellGroupData[{
Cell[2284, 72, 108, 1, 17, "DetailsSection",ExpressionUUID->"b3a9b056-6e5d-4c39-99af-9ce8d34d3e98",
 CellID->307771771],
Cell[2395, 75, 118, 2, 70, "Details",ExpressionUUID->"37273aab-d035-4869-8939-bc51c02427ab",
 CellID->218895918],
Cell[2516, 79, 124, 2, 70, "Details",ExpressionUUID->"5c8bc96a-1d80-47cf-a932-e3a230bd6e58",
 CellID->350963985],
Cell[2643, 83, 121, 2, 70, "Details",ExpressionUUID->"2eeca285-94cb-4a64-8a2b-510782c9418f",
 CellID->795871300],
Cell[2767, 87, 126, 2, 70, "Details",ExpressionUUID->"ab5f6f4d-f4be-46b0-bcd4-4d390ceed074",
 CellID->199739161],
Cell[2896, 91, 115, 2, 70, "Details",ExpressionUUID->"0e97d31a-7f5f-49ad-9725-cac9c0dd45fa",
 CellID->40625308],
Cell[3014, 95, 116, 2, 70, "Details",ExpressionUUID->"4857837e-82a0-48b9-8cb4-e1313a5ca08a",
 CellID->357121918],
Cell[3133, 99, 117, 2, 70, "Details",ExpressionUUID->"7042300f-7472-4da8-b380-657aad4c6090",
 CellID->35949532],
Cell[3253, 103, 133, 2, 70, "Details",ExpressionUUID->"f6d6879b-ee12-4c3f-b9e6-81d050e5e13a",
 CellID->929432370],
Cell[3389, 107, 122, 2, 70, "Details",ExpressionUUID->"e05d995c-0e02-4749-93c2-758dd07e0974",
 CellID->240026365]
}, Closed]],
Cell[CellGroupData[{
Cell[3548, 114, 175, 3, 131, "Title",ExpressionUUID->"64173bae-7d30-4d62-a4e7-313449ac61f6",
 CellID->509267359],
Cell[CellGroupData[{
Cell[3748, 121, 217, 3, 40, "Section",ExpressionUUID->"8e62890b-7d26-49e5-8c0b-8811dcf12762",
 CellID->1037075497],
Cell[3968, 126, 354, 7, 21, "Text",ExpressionUUID->"e60af5c9-57ce-4465-9d35-51d297dd6c91",
 CellID->1361204418],
Cell[4325, 135, 121207, 1993, 120, "Text",ExpressionUUID->"6ec9bd1a-ed10-4d7f-969b-ea1608ad0051",
 CellID->110807350],
Cell[CellGroupData[{
Cell[125557, 2132, 284, 5, 21, "Text",ExpressionUUID->"46a37541-a73a-4006-9e09-686036bb3dfd",
 CellID->400292277],
Cell[125844, 2139, 35266, 582, 235, "Input",ExpressionUUID->"1c433fe9-8633-4cfd-a472-798fcf84d518",
 CellID->1912826041]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[161159, 2727, 416, 5, 40, "Section",ExpressionUUID->"f35db75a-946c-4737-806b-e45d8a46486b",
 CellID->623985416],
Cell[CellGroupData[{
Cell[161600, 2736, 618, 10, 51, "Text",ExpressionUUID->"bdf82058-6100-4ec8-9228-49ba8b01f9c4",
 CellID->975458917],
Cell[162221, 2748, 3702, 83, 368, "Input",ExpressionUUID->"3225040b-357e-445c-ac8d-715d34885958",
 CellID->647856821]
}, Open  ]],
Cell[165938, 2834, 1449, 30, 58, "Text",ExpressionUUID->"a2e13d9f-d5a7-41e5-9ea3-b6e184f4e7a2",
 CellID->787500257],
Cell[CellGroupData[{
Cell[167412, 2868, 252, 3, 21, "Text",ExpressionUUID->"ce3d4218-0d1d-4b8f-b765-b029f32927ac",
 CellID->575102938],
Cell[167667, 2873, 17290, 288, 148, "Input",ExpressionUUID->"771326e2-3503-459d-bb2d-bfa2f9545724",
 CellID->523665204]
}, Open  ]],
Cell[CellGroupData[{
Cell[184994, 3166, 577, 9, 36, "Text",ExpressionUUID->"3b2da292-1d7e-4914-b43c-2504b84a2ad8",
 CellID->900131666],
Cell[185574, 3177, 20529, 341, 156, "Input",ExpressionUUID->"0859a7dd-1b0a-41e3-b486-01774391322f",
 CellID->309466097]
}, Open  ]],
Cell[206118, 3521, 411, 7, 36, "Text",ExpressionUUID->"23887f3f-6371-4319-a6d3-353d1bec147d",
 CellID->823051618],
Cell[CellGroupData[{
Cell[206554, 3532, 341, 5, 21, "Text",ExpressionUUID->"191edfef-4efe-453c-9390-852d0c629b1b",
 CellID->1086373399],
Cell[CellGroupData[{
Cell[206920, 3541, 531, 14, 25, "Input",ExpressionUUID->"ff4a5eb7-08f9-47f4-bc43-34f75ed339d9",
 CellID->771750199],
Cell[207454, 3557, 8412, 142, 153, "Output",ExpressionUUID->"d4cb2045-e7ac-4eb0-becb-56dd6afc9e69",
 CellID->4366713]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[215915, 3705, 386, 6, 21, "Text",ExpressionUUID->"258930ab-9e68-4dfe-9aea-08caa73cc9de",
 CellID->376901393],
Cell[CellGroupData[{
Cell[216326, 3715, 885, 25, 44, "Input",ExpressionUUID->"7935ddf0-5f4e-45e4-a5b9-479e4b160316",
 CellID->1652437148],
Cell[217214, 3742, 31069, 514, 123, "Output",ExpressionUUID->"988b20d2-fcc2-44f0-9631-72f77a61ec5b",
 CellID->1252623432]
}, Open  ]]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[248344, 4263, 325, 4, 40, "Section",ExpressionUUID->"a1bb6c26-bd24-47a0-a8f1-c602ac62eccc",
 CellID->1059830083],
Cell[CellGroupData[{
Cell[248694, 4271, 719, 11, 66, "Text",ExpressionUUID->"06816176-280e-43ec-a096-574bc1c83935",
 CellID->1934277],
Cell[249416, 4284, 4765, 103, 458, "Input",ExpressionUUID->"dd485145-636b-407c-8a97-ce3a781fa7bc",
 CellID->724139662]
}, Open  ]],
Cell[254196, 4390, 1443, 30, 58, "Text",ExpressionUUID->"6cdcd80c-cb30-409b-9cdb-3842cfe791b1",
 CellID->825471685],
Cell[CellGroupData[{
Cell[255664, 4424, 277, 3, 21, "Text",ExpressionUUID->"363a2caf-87a1-4d1e-9600-8cea6da6e4b2",
 CellID->958250175],
Cell[255944, 4429, 18370, 306, 151, "Input",ExpressionUUID->"59b6d02a-4b16-4f99-9d15-a51aff8194af",
 CellID->170182009]
}, Open  ]],
Cell[CellGroupData[{
Cell[274351, 4740, 876, 13, 66, "Text",ExpressionUUID->"8834a93b-e119-40d7-9d18-3cb6cb9c7762",
 CellID->1089422699],
Cell[275230, 4755, 26659, 442, 156, "Input",ExpressionUUID->"0bdd6e30-2b9c-47e7-8bdd-ecb9cc84175a",
 CellID->60181817]
}, Open  ]],
Cell[301904, 5200, 510, 8, 51, "Text",ExpressionUUID->"3f3f0cbf-014b-415f-95ce-8554727777b9",
 CellID->385298007],
Cell[CellGroupData[{
Cell[302439, 5212, 215, 3, 21, "Text",ExpressionUUID->"28975e43-863c-440e-bcb3-48a5fdf031fd",
 CellID->1040407944],
Cell[302657, 5217, 510, 13, 25, "Input",ExpressionUUID->"7b067693-874f-4948-8430-4dfbae858b0f",
 CellID->1324460934],
Cell[CellGroupData[{
Cell[303192, 5234, 281, 6, 25, "Input",ExpressionUUID->"cecac9f4-12c7-4174-ae70-7f4d5592945a",
 CellID->1546916583],
Cell[303476, 5242, 8490, 143, 171, "Output",ExpressionUUID->"04c5027e-56cf-493c-b78e-84ccebc79656",
 CellID->1589979899]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[312015, 5391, 257, 4, 21, "Text",ExpressionUUID->"3db21252-0a9f-49f0-84e4-caa8a0bd9236",
 CellID->1653142872],
Cell[312275, 5397, 927, 25, 44, "Input",ExpressionUUID->"c0b9ef90-5a1c-4579-813b-46f9aad03d4e",
 CellID->228824818],
Cell[CellGroupData[{
Cell[313227, 5426, 264, 5, 25, "Input",ExpressionUUID->"e61eacd5-2d98-4447-9075-2f69254122ed",
 CellID->1862987996],
Cell[313494, 5433, 26814, 444, 150, "Output",ExpressionUUID->"c17ea792-c8c7-4b73-a37d-6e2544d738b3",
 CellID->927675512]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[340357, 5883, 314, 5, 21, "Text",ExpressionUUID->"b587af78-a791-422f-9a90-b5f89c85c787",
 CellID->711052964],
Cell[340674, 5890, 575, 15, 25, "Input",ExpressionUUID->"0bd42d26-219e-4411-adf4-0635329be8bb",
 CellID->2068154040],
Cell[CellGroupData[{
Cell[341274, 5909, 307, 6, 25, "Input",ExpressionUUID->"f184dfcd-bdb0-4aa7-a48e-e10cc44ad7d4",
 CellID->294639938],
Cell[341584, 5917, 31884, 527, 172, "Output",ExpressionUUID->"66b32cfc-a0c4-4c94-a6b5-42a89bfd0765",
 CellID->2063631631]
}, Open  ]]
}, Open  ]]
}, Open  ]],
Cell[CellGroupData[{
Cell[373529, 6451, 120, 1, 70, "TutorialMoreAboutSection",ExpressionUUID->"8f970ab7-54b5-4756-b7ad-a58dffd01413",
 CellID->23220180],
Cell[373652, 6454, 109, 1, 20, "TutorialMoreAbout",ExpressionUUID->"6e59c1da-e478-42c3-a2ec-9f0cd4ac79be",
 CellID->1567025153]
}, Open  ]],
Cell[CellGroupData[{
Cell[373798, 6460, 127, 1, 70, "RelatedTutorialsSection",ExpressionUUID->"6ee67904-049e-429a-b82d-78776264fae5",
 CellID->415694126],
Cell[373928, 6463, 321, 5, 20, "RelatedTutorials",ExpressionUUID->"5189773b-75da-41a7-a57d-8e2f833a3dd5",
 CellID->1609542],
Cell[374252, 6470, 341, 6, 20, "RelatedTutorials",ExpressionUUID->"655eb147-a22c-4580-86e5-0497cd5f4e76",
 CellID->292544750],
Cell[374596, 6478, 326, 5, 20, "RelatedTutorials",ExpressionUUID->"69b88c76-0666-4e6d-ad47-f0c80d5b9e1a",
 CellID->422280156],
Cell[374925, 6485, 356, 6, 34, "RelatedTutorials",ExpressionUUID->"2a1f6b6e-d89d-415a-912c-1dee1bda7aee",
 CellID->740172588],
Cell[375284, 6493, 334, 6, 20, "RelatedTutorials",ExpressionUUID->"9fe639d6-5050-4ad1-9ffb-02cd47d1947b",
 CellID->28768034],
Cell[375621, 6501, 355, 6, 34, "RelatedTutorials",ExpressionUUID->"b9a1a623-c779-48f5-924b-b94de4cdd819",
 CellID->251143726],
Cell[375979, 6509, 393, 7, 34, "RelatedTutorials",ExpressionUUID->"a8efee66-49f3-4066-908a-98516dc15f30",
 CellID->71800016]
}, Open  ]],
Cell[CellGroupData[{
Cell[376409, 6521, 153, 1, 70, "TutorialRelatedLinksSection",ExpressionUUID->"1d3fe07f-6c0e-4e26-942b-4dea0008a6ac",
 CellID->415694148],
Cell[376565, 6524, 111, 1, 20, "TutorialRelatedLinks",ExpressionUUID->"2d487ec3-17d7-482f-8b25-0dfb216b8e73",
 CellID->415694149]
}, Open  ]]
}, Open  ]]
}
]
*)

